Podcasts by Category
- 520 - How UniSuper is helping Australians get the best of their superannuation fund investments with cloud
In this special episode, we are featuring That Digital Show. In Australia, every employee is required to select their superannuation fund of choice to help them invest a portion of their income. Having celebrated its 40th anniversary recently, UniSuper, one of Australia’s largest superannuation funds, is committed to delivering value and efficiency for its members. Started as a fund for the higher education and research sector, it has now opened its platform to all industries across the country.
Today, UniSuper invests more than $120 billion on behalf of more than 620,000 members. With the new Treasury Laws Amendment Act 2021, Your Future, Your Super, that aims to improve the outcome of superannuation funds for Australians, UniSuper decided to undergo a data centre transformation, taking on an 80/20 rule on cloud hosting and adopting the right digital technologies to improve its performance and portfolio.
In this episode, Angelo talks about how Google Cloud VMware Engine (GCVE) underpins UniSuper’s shift to the cloud as it moves existing VMware-based workloads from on-premises data centers to the cloud. This enables the organization to quickly scale up while having the flexibility and agility it needs to drive operational efficiencies as it continues to deliver the best returns for its customers. He also shares how the COVID-19 pandemic presented him with some crucial moments of thought that have resulted in some of the changes in best practices across the organization today.
Angelo Furina, Head of Enterprise Infrastructure & CloudAngelo is the Head of Enterprise Infrastructure and Cloud at UniSuper and is passionate about business transformation and bridging the gap between technology and business strategy. With more than a decade of industry experience, Angelo has delivered technology solutions across manufacturing, telecommunications, media and finance.
Theo DaviesTheo is the Head of Cloud Sales Excellence & Productivity at Google Cloud. He is a record-breaking salesperson, sales leader, coach and speaker with a 20+ year career beginning in sales. Theo is also the President of the Google Public Speaking Academy.
Thu, 16 Nov 2023 - 25min - 519 - Creating a sustainable EV ecosystem in Taiwan with ChargeSmith
In this special episode, we are featuring That Digital Show. As the electric vehicles (EV) sector accelerates, drivers are finding it a challenge to conveniently access charging points. This has become one of the biggest concerns for EV drivers around the world. Intending to solve this problem, Taiwan-born company ChargesSmith offers EV users an end-to-end charging solution by developing a map for drivers, with the most updated information on location and availability of charging points around the country.
Today, ChargeSmith serves more than 70% of EV users in Taiwan, partnering with various charging point operators to give users a high level of accessibility. Their vision and goal is to organize and share energy with communities, countries, and the earth.
In this episode, ChargeSmith CEO Andy Chen talks about sustainability in the EV market and the growth of EV adoption. As an EV driver himself, Chen shares the issues he faces first-hand, and how ChargeSmith is leveraging data to solve the challenges of today while paving a future for EV drivers of tomorrow. In this episode, we also hear from Alex Kuo of GAIA, who shares how his team collaborates with ChargeSmith to use cloud technology as an enabler in this evolving landscape. Are you ready for a cleaner driving experience? Tune in to find out.
Andy Chen, CEO of ChargeSmithAndy is one of the earliest EV adaptors in Taiwan. With enthusiasm for the EV community, he has led ChargeSmith to build up Taiwan's largest EV charging roaming network. Andy enjoys observing the market’s pain points and using data-driven strategies to accelerate the adoption of the product.
Alex Kuo, Sr. Account Manager of GAIAAn accomplished sales professional, Alex has led sales teams across the IT industry to success, helping SMB and enterprise clients achieve impressive business growth. With a passion for blockchain technology, Alex enjoys innovating and developing new products and services for clients that ultimately contribute to the growth of the industry.
Theo DaviesTheo is Head of Cloud Sales Excellence & Productivity at Google Cloud and host of “That Digital Show APAC”. He is a record-breaking salesperson, sales leader, coach and speaker with a 20+ year career beginning in sales. Theo is also the President of the Google Public Speaking Academy.
InterviewChargeSmith: https://www.chargesmith.com/ev/
Hosts
Theo Davies and Paris Tran
Wed, 16 Aug 2023 - 26min - 518 - Tapping onto AI to build a more sustainable future with Recursive AI
In this special episode, we are featuring That Digital Show. AI is seen as a powerful tool and enabler for businesses around the world. At the same time, more organizations are looking for ways to operate more sustainably. To combine the two, Recursive AI was established in 2020, formalizing the way AI can be used for sustainability. Whether it’s through innovation, improving productivity, providing better education, or using AI for prevention and mitigation efforts in managing climate change, Recursive AI is changing the sustainability landscape one project at a time.
In this episode, Recursive AI co-founder Tiago Ramalho puts on a new lens to the way we think about AI. He tells us how neural networks, which form the core infrastructure of AI, can simulate systems quickly, finding new and improved solutions to existing problems. He also shares how the company is predicting the future of natural disasters so that organizations can take action before it is too late.
When it comes to sustainability, no action is too small. Listen in to find out how the organization is innovating by leveraging AI technology to solve the sustainability problems of today and tomorrow.
Dr. Tiago Ramalho, Recursive Co-founder and CEOTiago is the co-founder and CEO of Recursive AI, a company focused on building AI tools to help companies grow their sustainability impact. Tiago is a physicist and former Googler at Google DeepMMind with a passion for technology and sustainability. Through Recursive, Tiago is able to marry the two to help others create a greener tomorrow.
Theo DaviesTheo is Head of Cloud Sales Excellence & Productivity at Google Cloud and host of “That Digital Show APAC”. He is a record-breaking salesperson, sales leader, coach and speaker with a 20+ year career beginning in sales. Theo is also the President of the Google Public Speaking Academy.
InterviewRecursive AI: https://recursiveai.co.jp/en/
Hosts
Theo Davies and Paris Tran
Wed, 26 Jul 2023 - 25min - 517 - Streamlining the Philippine education network with an all-in-one school management app with Wela
In this special episode, we are featuring That Digital Show. In the Philippines, class sizes in schools are often quite large with an average of 30 students per class. This makes keeping track of individual students’ progress a challenge. To solve this problem, John and Chris Fiel, co-founders of Wela School Systems developed a digital solution for schools, teachers, and parents to keep track of basic administrative tasks like daily attendance-taking and keeping record of grades, among other things to keep paperwork at bay.
Starting with just three schools upon launch, Wela now serves more than 200 schools on its platform. To make sure it meets the needs of users, the duo constantly asks for feedback from customers, and pick out the most common needs to address and build around. The startup also follows a freemium model so that schools can test and discover if the product is really adding value for them, before deciding to purchase it.
Listen in to hear how Wela continues to win the hearts of educators, and the impact they are making on the Philippine education system. In this podcast, they also share their views on the future of education and how data can be used to improve teaching processes and the learning environment.
John Fiel, CEO, Wela School Systems
John’s interest in the startup industry brought him to establish his own game development startup after college, which lasted for two years. Now, he is the Co-Founder and CEO of Wela School System. Wela is one of the Pioneering DOST Funded Startups in the Philippines. Wela is now running for five years and serving over 190 schools both national and international.
Chris Fiel, CTO, Wela School Systems
Chris is a serial technopreneur with the aim of creating disruptive and useful apps using the latest technology trends. His heart and inclination is into programming where his 25 years of experience as a freelance developer can speak of. He is currently into ERP, IoT and blockchain and looking for consulting and development projects along these areas.
Theo Davies
Theo is Head of Cloud Sales Excellence & Productivity at Google Cloud and host of “That Digital Show APAC”. He is a record breaking salesperson, sales leader, coach and speaker with a 20+ year career beginning in sales. Theo is also the President of the Google Public Speaking Academy.
InterviewWela School System: https://wela.online/
Hosts
Theo Davies and Paris Tran
Wed, 03 May 2023 - 23min - 516 - GoJek’s digital journey to becoming one of Indonesia’s biggest multi-platform apps
In this special episode, we are featuring That Digital Show. Theo Davies and Stephanie Wong speak to Sartaj Singh, Head of Technology at GoJek, who shares inside knowledge on GoJek’s explosive growth, from being a ride hailing app, to a multi-platform one that is a now a major eCommerce player in Indonesia, especially in last mile delivery.
Sartaj shares GoJek’s focus on three pillars, customer incentive, driver rewards and pricing, to ensure consistency in service delivery quality. He also discusses how he looks to improve platformization with his team through innovation, by putting people over processes, and helping engineers address challenges in order to stay agile and scalable.
From sitting at the side of the street to solve production issues, to managing and growing a team of over 1,000 in just a few years, listen in as Sartaj shares interesting personal excerpts on GoJek’s journey in shifting from a startup “hustler” mindset, to a more corporate way of working, and everything that it entails.
Sartaj SinghSartaj Singh is the Head of Engineering Platforms at Gojek. Sartaj is one of the few engineers who has been with GOJEK since the early days. As a literary enthusiast, he never thought that he would end up working in tech. Sartaj is responsible for driving growth, standardizing and improving Indonesia’s multi-service platform.
Theo DaviesTheo is Head of Cloud Sales Excellence & Productivity at Google Cloud and host of “That Digital Show APAC”. He is a record breaking salesperson, sales leader, coach and speaker with a 20+ year career beginning in sales. Theo is also the President of the Google Public Speaking Academy.
Cool things of the week5 GKE features to help you optimize your clusters blog
InterviewGojek site
Gojek: Using Machine Learning for forecasting and dynamic pricing blog
Introducing Firehose: An open source tool from Gojek blog
Meet Optimus, Gojek’s open-source cloud data transformation tool blog
Gojek: Helping drivers reach their pickup points up to 20% more quickly with Google Maps Platform blog
What’s something cool you’re working on?Theo is trying out Snapchat and is excited about Snap partnering with Google Cloud
Hosts
Stephanie Wong and Theo Davies
Wed, 29 Mar 2023 - 44min - 515 - 2022 Year End Wrap Up
Happy Holidays from all of us at Google! This week, hosts Carter Morgan, Stephanie Wong, and Max Saltonstall are sharing their favorite moments from the year! From great partnerships with national companies, new releases in some of your favorite Google software tools, and a trillion digits of pi, we’re breaking down some 2022 highlights and introducing special guest Podcast Producer Kevin McCormack to help with a fun podcast trivia game!
Carter MorganCarter Morgan is Developer Advocate for Google Cloud, where he creates and hosts content on Google’s Youtube channel, co-hosts several Google Cloud podcasts, and designs courses like the Udacity course “Scalable Microservices with Kubernetes” he co-created with Kelsey Hightower. Carter Morgan is an international standup comedian, who’s approach of creating unique moments with the audience in front of him has seen him perform all over the world, including in Paris, London, the Melbourne International Comedy Festival with Joe White. And in 2019, and the 2019 Edinburgh Fringe Festival. Previously, he was a programmer for the USAF and Microsoft.
Stephanie WongStephanie Wong is a Developer Advocate focusing on online content across all Google Cloud products. She’s a host of the GCP Podcast and the Where the Internet Lives podcast, along with many GCP Youtube video series. She is the winner of a 2021 Webby Award for her content about data centers. Previously she was a Customer Engineer at Google and at Oracle. Outside of her tech life she is a former pageant queen and hip hop dancer and has an unhealthy obsession with dogs.
Max SaltonstallMax Saltonstall is a Developer Relations Engineer at Google Cloud. He is a father, teacher, storyteller, speaker, educator, nefarious villain, game designer, juggler, and is only part zombie.
Cool things of the week Boost medical discoveries with AlphaFold on Vertex AI blog 6 common mistakes to avoid in RESTful web API Design blog Marketing Analytics With Google Cloud blog Our Favorite Episodes of 2022 Stephanie’s Favorites GCP Podcast Episode 290: Resiliency at Shopify with Camilo Lopez and Tai Dickerson podcast GCP Podcast Episode 315: Cloud Functions (2nd gen) with Jaisen Mathai and Sara Ford podcast GCP Podcast Episode 307: FinOps with Joe Daly podcast Carter’s Favorites GCP Podcast Episode 308: New Pi World Record with Emma Haruka Iwao and Sara Ford podcast GCP Podcast Episode 327: ML/AI Data Science for Data Analytics with Jed Dougherty and Dan Darnell podcast GCP Podcast Episode 289: Cloud Security Megatrends with Phil Venables podcast Max’s Favorites GCP Podcast Episode 316: Google Cloud for Higher Education with Laurie White and Aaron Yeats podcast GCP Podcast Episode 317: Launching Products at Google Cloud with Anita Kibunguchy-Grant and Gabe Weiss podcast GCP Podcast Episode 325: Digital Sovereignty with Archana Ramamoorthy and Julien Blanchez podcast Stephanie’s Honorable Mentions GCP Podcast Episode 323: Next 2022 with Forrest Brazeal and Stephanie Wong podcast GCP Podcast Episode 298: Celebrating Women’s History Month with Vidya Nagarajan Raman podcast Carter’s Honorable Mentions GCP Podcast Episode 312: Managed Service for Prometheus with Lee Yanco and Ashish Kumar podcast GCP Podcast Episode 290: Resiliency at Shopify with Camilo Lopez and Tai Dickerson podcast Max’s Honorable Mentions GCP Podcast Episode 326: Assured Workloads with Key Access Justifications with Bryce Buffaloe and Seth Denney | Google Cloud Platform Podcast podcast HostsStephanie Wong, Carter Morgan and Max Saltonstall
Wed, 21 Dec 2022 - 39min - 514 - Cloud Workstations with Marcos Grappeggia and Antoine Castex
Max Saltonstall and Stephanie Wong welcome fellow Googler Marcos Grappeggia and Antoine Castex of L’Oreal to talk about Cloud Workstations, Google’s software that provides managed development environments.
Marcos elaborates on the power of Cloud Workstations and all the features and offerings this software provides. The preconfigured nature of Cloud Workstations means developers simply press a button and get an IDE so they’re ready to code quickly. Other teams benefit as well, with templates created by Cloud Workstations that specify options to be preinstalled. Marcos talks more about the benefits of Workstations over local environments, especially in the areas of security and productivity. L’Oreal chose Google Cloud years ago when they began their transition to the cloud, Antoine tells us, and we hear how L’Oreal offered Marcos suggestions and feedback as Workstations was developed. Working with Cloud Workstations today, L’Oreal’s teams spread across the globe are able to begin realizing the dream of creating environments with parameters specific to different regions and areas.
While Cloud Workstations and Cloud Shell are similar solutions in some ways, Marcos helps us understand the differences as well. For example, Cloud Shell is less flexible while Workstations is highly customizable. Antoine talks more about the adoption process of Workstations at L’Oreal and how they plan to continue using the software with more teams in the future. He offers advice for other companies looking to introduce it.
Workstations works with the Software Delivery Shield suite to build and maintain a secure software supply chain. Security features developers are used to in productions services are easily applied to development environments in Workstations as well. Marcos talks about the future of Cloud Workstations, including deeper security integration.
Marcos GrappeggiaMarcos is a Product Manager at Google Cloud, leading Cloud Workstations and Cloud Shell. Marcos is an engineer from University of Campinas (Brazil) and École Centrale Paris (France). Prior to joining Google, he led product at Appurify (acquired by Google, now Firebase Test Lab), enabling mobile test automation on real devices for mobile developers.
Antoine CastexAntoine is a curious French man, a Serverless Guru multiple times GCP Certified and C2C French Club Co-President & Co-Founder.
Cool things of the week Introduction to custom org policy video How to configure rules and policies in Google Cloud Armor video 1:03 - What this video covers 2:03 - How to create a new rule from scratch 4:54 - How to clone an existing out-of-the-box rule and modify it to create a new rule 7:44 - How to copy a rule or policy and apply it to multiple backends / Rate limiting feature 12:46 - How to use a Rule in Preview mode and test a new rule before enabling it / Threat intelligence feature 17:35 - Wrap up Interview Cloud Workstations site Cloud Shell site Software Delivery Shield site Cloud IDE site Google Cloud Console site C2C site How to increase developer productivity with Cloud Workstations video What’s something cool you’re working on?Max is teaching his cats to do silly tricks!
Stephanie is planning a vacation!
HostsMax Saltonstall and Stephanie Wong
Wed, 14 Dec 2022 - 41min - 513 - Active Assist and Resource Lifecycle Management with Sharon Fang and Michael Sudakovitch
Guests Sharon Fang and Michael Sudakovitch are here this week to talk with Max Saltonstall and Daryl Ducharme about Google’s Active Assist optimization portfolio and managing cloud projects efficiently.
Michael, tech lead at Uber, first employed Active Assist for the company in their security department, but they have since realized how useful Active Assist is in many areas of the resource management space. Responsible architects, Michael points out, continually evaluate their resources and patch, update, or remove as necessary to ensure proper security and optimize spending. Sharon helps us understand resource management further and how Active Assist helps teams find resources that can be changed or even removed for better spending, tighter security, and smaller carbon footprint.
Active Assist will even recommend the removal of entire projects that have become dormant. Michael talks in detail about Uber’s use of Active Assist and how it helped them find vulnerable projects that could be removed for better security. Sharon highlights the effects of Active Assist on reducing CO2 emissions as well, as discontinued projects keep hardware running needlessly. As Michael and his team at Uber began taking advantage of all Active Assist had to offer, Google worked with him to answer questions, tailor resources, and take feedback to improve offerings. The future includes a portfolio expansion of resource life cycle management tools to identify more idol systems like GKE clusters and helping larger customers take advantage of Active Assist at scale automatically.
Together, Sharon and Michael tell us stories about the partnership and interesting findings and results of Uber’s carbon footprint reduction journey.
Sharon FangSharon Fang is a Product Manager for Google Cloud’s Active Assist, which aims to help users optimize their cloud operations with recommendations.
Michael SudakovitchMichael is a Tech Lead at Uber’s Engineering Security organization, focusing on securing and optimizing Uber’s Multi-Cloud infrastructure.
Cool things of the week Solving internal search problems with Dialogflow blog Automating self-service tech support with Tensorflow blog Introducing IAM Deny, a simple way to harden your security posture at scale blog Supporting healthcare delivery with cloud-native medical imaging blog Interview Active Assist site Uber site Uber Engineering Blog site How ML-fueled recommendations help developers optimize security, price-performance, and carbon reduction blog Introducing Unattended Project Recommender: discover, reclaim, or deprecate abandoned projects under your organization blog Reduce your cloud carbon footprint with new Active Assist recommendations blog What’s something cool you’re working on?Max is sorting out the final blog posts of the year, planning some secret Santa holiday festivities for the team, and prepping cranberry sauces.
Daryl is planning videos for the new year, including a video to help celebrate our 1 millionth subscriber on the Google Cloud Tech YouTube channel and several videos to help people get the most out of Google Cloud IAM features.
HostsMax Saltonstall and Daryl Ducharme
Wed, 07 Dec 2022 - 28min - 512 - Database Migration Service with Shachar Guz, Inna Weiner, and Gabe Weiss
Stephanie Wong talks with guests Shachar Guz, Inna Weiner, and Gabe Weiss about Google’s Database Migration Service and how it helps companies move data to Google Cloud. What typically is a complicated process, DMS simplifies everything from planning to security to validating database migrations.
DMS has undergone some changes since last we spoke with Shachar and Gabe. It’s gone GA and helped thousands of customers benefit from the service. Migrations are possible from any PostgreSQL database source to AlloyDB for PostgreSQL, which is designed to support HTAP data (transactional and analytical). One of the most exciting updates is the introduction of the DMS modernization journey, which allows customers to change database type during migration (heterogenous). In addition, migrations with DMS can be set up to continuously replicate data between the old and new database. With this feature, developers can compare the application performance against the old vs. new database.
Inna talks about the benefits of keeping your data in the cloud, like secure, reliable, and scalable data storage. Google Cloud takes care of the maintenance work for you as well. DMS takes security seriously and supports multiple security methods to keep your data safe as it migrates. We talk about the different customers using DMS and how the process works for homogeneous and heterogeneous migrations. Before you even start, Gabe tells us, DMS helps you prepare for the migration. And tools like Dataflow can help when customers decide full migration would be too difficult. We talk about the difference between Datastream and DMS and use cases for each.
We wrap up the show with a look at the future of DMS.
Shachar GuzShachar is a product manager at Google Cloud, he works on the Cloud Database Migration Service. Shachar worked in various product and engineering roles and shares a true passion about data and helping customers get the most out of their data. Shachar is passionate about building products that make cumbersome processes simple and straightforward and helping companies adopt Cloud technologies to accelerate their business.
Inna WeinerInna is a senior technical leader with 20+ years of global experience. She is a big data expert, specializing in deriving insights from data, product and user analytics. Currently, she leads engineering for Cloud DMS. Inna enjoys building diverse engineering organizations, with common vision, growth strategy and inclusive culture.
Gabe WeissGabe leads the database advocacy team for the Google Cloud Platform team ensuring that developers can make awesome things, both inside and outside of Google. That could mean speaking at conferences, writing example code, running bootcamps, writing technical blogs or just doing some hand holding. Prior to Google he’s worked in virtual reality production and distribution, source control, the games industry and professional acting.
Cool things of the week Flexible committed use discounts — a simple new way to discount Compute Engine instances blog Understanding transactional locking in Cloud Spanner blog Interactive In-console Tutorial site Interview Database Migration Service site GCP Podcast Episode 262: Database Migration Service with Shachar Guz and Gabe Weiss podcast AlloyDB for PostgreSQL site PostgreSQL site Datastream site Dataflow site CloudSQL site Spanner site What’s something cool you’re working on?Gabe has been tinkering with new Google Cloud databases and managing a new team.
HostsStephanie Wong
Wed, 16 Nov 2022 - 40min - 511 - ML/AI Data Science for Data Analytics with Jed Dougherty and Dan Darnell
On the show this week, Carter Morgan and Anu Srivastava talk about AI and ML data analytics with Dataiku VP of Platform Strategy, Jed Dougherty, and Head of Product Marketing, Dan Darnell. Dataiku is an AI platform targeted for business team collaboration. The low and no code environments make it easy for developers and not so tech savvy employees to work together on analytics projects. It strives for everyday AI, making these normally highly technical data processes more accessible.
Our guests detail the tools Dataiku provides customers, including ML Ops features for efficient models. Dataiku’s managed offering allows businesses to concentrate on the model while Dataiku takes care of things like the deployment processes behind the scenes. We hear about the partnership between Dataiku and Google Cloud and Dataiku’s integration with AlloyDB. Through a real example, our guests run us through the use of these two tools together. Jed talks about why Google Cloud works so well with Dataiku, especially for businesses looking for cutting edge technology.
Jed DoughertyJed is the VP of Platform Strategy at Dataiku. In this role he acts as a strategic technical advisor to Dataiku customers and prospects. He also works tightly with Engineering and Product stakeholders in order to ensure that all technical platform requests are properly followed, scoped and implemented.
Dan DarnellDan has over 20 years of experience in the analytics industry at established software companies, hyper-growth technology companies, and small technology start-ups. As the Head of Product Marketing at Dataiku, he owns positioning, evangelism, and content creation for product offerings and education on products for customers and partners.
Cool things of the week Google Cloud supercharges NLP with large language models blog Practicing the principle of least privilege with Cloud Build and Artifact Registry blog Interview Dataiku site Dataiku YouTube videos BigQuery site Kubernetes site GKE site AlloyDB for PostgreSQL site Accelerate AI Adoption: 3 Steps to Deploy Dataiku for Google Cloud Platform blog Implementing Dataiku with BigQuery docs GCP Podcast Episode 238: ASML with Arnaud Hubaux podcast GCP Podcast Episode 229: Lucidworks with Radu Miclaus podcast What’s something cool you’re working on?Anu is working on interesting speech use cases and Google’s Speech to Text. Join in with this tutorial!
Carter is working on getting organized and working on something super cool!
HostsCarter Morgan and Anu Srivastava
Wed, 09 Nov 2022 - 32min - 510 - Assured Workloads with Key Access Justifications with Bryce Buffaloe and Seth Denney
Hosts Max Saltonstall and Daryl Ducharme are joined by Bryce Buffaloe and Seth Denney to chat about Assured Workloads and the sovereignty control Key Access Justifications so customers can see how their data is used and control who can see what.
Assured Workloads with Google is a security and compliance engine that allows users to control their data with the help of Google. With the expansion of data use around the globe, data sovereignty has become more important as well, and Google Cloud products offer myriad tools to maintain control, privacy, and compliance no matter the location. Seth talks more about sovereignty and how it’s changing data storage and management. Our guests talk about how Google has tackled the sovereignty issues, difficult decisions that had to be made, and the process of working with clients to optimize tools for different security and sovereignty scenarios.
With Key Access Justifications, Google has bolstered its offerings to provide clients with trustworthy controls to keep data secure and sovereign, from Compute Engine VMs to BigQuery. We learn what Key Access Justifications look like for users and how the encryption keys work in different Google Cloud services. Customer managed key material is stored outside of Google and the key manager must give permission for access for an added layer of trust and security. Seth and Bryce explain why this is important and describe how KAJ are used with some examples. These features may also be used to improve security in the future by preventing data from being decrypted and stolen should someone ever get access to your system. We hear more about the future of data security and sovereignty, including simplifying the process with managed services and easier onboarding. Strategic European partnerships are helping Google tackle these important issues overseas so clients can focus on their businesses and worry less about data security.
The catalyst for KAJ was a large German bank that recognized the sovereignty changes coming, and we hear more about the origins of KAJ and the path to where it is today. When paired with Assured Workloads, clients get maximum sovereignty coverage. Seth talks a little about the Sovereignty Access Controls done internally as well. Bryce walks us through using these Google services with a European example.
Bryce BuffaloeBryce is Product manager for Google Cloud Security managing the portfolio of the Assured Workload’s solution suite.
Seth DenneySeth is KAJ Tech Lead, responsible for ensuring the integrity and usefulness of KAJs to support customer data sovereignty
Cool things of the week DevFests site Best Kept Security Secrets: Tap into the power of Organization Policy Service podcast Interview Assured Workloads site Assured Workloads Playlist videos Key Access Justifications docs Compute Engine site BigQuery site GCP Podcast Episode 325: Digital Sovereignty with Archana Ramamoorthy and Julien Blanchez podcast T Systems site What’s something cool you’re working on?Daryl just released a video about using Workflows’ new parallel step.
Max is working on crossover episodes across our various podcast streams, so we can have SRE guests on to the GCP podcast to talk reliability, for example, or bring some of the Kubernetes hosts to the Cloud Security podcast to discuss securing Kubernetes workloads.
HostsMax Saltonstall and Daryl Ducharme
Wed, 02 Nov 2022 - 42min - 509 - Digital Sovereignty with Archana Ramamoorthy and Julien Blanchez
This week, Max Saltonstall and Chloe Condon welcome guests Archana Ramamoorthy and Julien Blanchez to talk about digital sovereignty and what goes into a technical strategy for dealing with this complicated facet of web projects.
Our guests start the show with a thorough explanation of digital sovereignty, explaining that it typically involves a state or regulatory agency exerting control over data and technology. As more and more data is taken into the cloud, countries are understandably concerned about a loss of control over this data, and nations are enacting laws and regulations to help manage security of data in the cloud. Standardization has been a human issue for a long time, from trains to international travel and more, Archana reminds us, and this challenge is now moving to the management of cloud data out in the world. As sovereign nations implement their own standards, cloud providers must adapt to help developers create projects that follow these laws.
Julien talks about the discussions around digital sovereignty in Europe, especially as it affects data security. Lawmakers, cloud providers, and companies have been working together to think through effective laws and strategies for digital security around the world. Googlers across the globe are working locally to make sure Google’s suite of products are compatible with government regulations and the needs of developers. Archana and Julien talk about the three important action segments Google employs to make sure tools allow for control over who has access to data when and how, and we hear the journey Google has trekked from the very beginning to now as the company has worked for strong security and versatile data management. Local partnerships are a big part of the advancements made in the sovereignty space, Julien tells us, increasing trust with developers in the area and leveraging local knowledge.
With offerings like Cloud Key Management, Google provides unique options for developers to control and secure data. To keep things easy, especially in the case of hybrid solutions, this portfolio of sovereignty products uses the same APIs, streamlined onboarding setups, and familiar interfaces Google product users are accustomed to.
Archana RamamoorthyArchana is the Director of Cloud Security Product Management. She has spent a lot of her career building security products for enterprise organizations.
Julien BlanchezJulien looks after the coordination of Google’s local digital sovereignty partnerships and how to position them in the market, after many years helping regulators and highly regulated customers in EMEA on their Google Cloud adoption journey worldwide.
Cool things of the week Google Cloud Podcasts site Cloud Security Podcast podcast Google Cloud SRE Podcast podcast Developer Community Keynote: The thing about burnout video Interview Google Cloud Next ‘22: Meet digital sovereignty requirements site Announcing Sovereign Controls for Google Workspace blog Cloud Key Management site Confidential Computing site What’s something cool you’re working on?Max is working on expanding Google’s podcast platform, giving it some more visibility. He’s also working on Halloween and LARP costumes and teaching new board games.
Chloe is working on her Halloween costume, too, and working on Google Cloud Reader.
HostsMax Saltonstall and Chloe Condon
Wed, 26 Oct 2022 - 36min - 508 - Top 5 Data & Analytics Launches from Next 2022 with Bruno Aziza and Maire Newton
Debi Cabrera and Stephanie Wong have more great Next content this week as we focus on launches specifically related to data and analytics with guests Bruno Aziza and Maire Newton.
We start the episode with a look at current customer trends in data, including tools for increasing efficiency when working with many different types of data. Data governance and security is another area where Bruno sees advances in satisfying customer needs. Maire talks about the steps Google is taking to help customers implement knowledge gained with data, including Looker and new integrations with tools like Looker Studio to easily connect tools for better data access and use. Strategic partnerships with companies like Tableau help accomplish these goals as well.
With 21 data and analytics launches at Next, exciting solutions are out there for customers. Bruno and Maire highlight their five favorites, like BigQuery support for unstructured data, allowing analysts working with SQL to do more with more data. To simplify workflows, BigQuery integration with Spark is a new feature that Maire tells us about, and we hear more about BigLake and it’s increased format support. Data reaches more people easier now with Connected Sheets available for anyone using Google Workspace, and finally we talk more about Looker. Bruno details the four use cases of business intelligence customers and how Google’s suite of data products satisfy their needs for a reasonable price.
Bruno AzizaBruno is head of data and analytics for Google Cloud and leads the outbound product management team. He has more than two decades’ of Silicon Valley experience, specializing in scaling businesses, and has written two books on Data Analytics and Enterprise Performance Management.
Maire NewtonMaire is an Outbound Product Manager at Google Cloud with almost 15 years of experience partnering with organizations to develop data solutions and drive digital transformation. She’s passionate about helping customers develop data-driven cultures by using technology to meet users where they are.
Cool things of the week Google Cloud Next for data professionals: analytics, databases and business intelligence blog ANA104 How Boeing overcame their on-premises implementation challenges with data & AI site ANA100 What’s new in Looker and Data Studio site ANA101 What’s new in BigQuery site ANA106 How leading organizations are making open source their super power site Google Cloud Next: top AI and ML sessions blog Interview Building the most open data cloud ecosystem post Data Journeys videos Google Cloud Next ‘22 site Looker site Looker Studio site Tableau site BigLake ste BigQuery site Use the BigQuery connector with Spark docs Connected Sheets docs What’s something cool you’re working on?Debi is getting married and working on Dataflow Prime.
HostsStephanie Wong and Debi Cabrera
Wed, 19 Oct 2022 - 30min - 507 - Next 2022 with Forrest Brazeal and Stephanie Wong
Forrest Brazeal joins Stephanie Wong today on the second day of Google Cloud Next ‘22. We’re talking about all the exciting announcements, how the conference has changed in recent years, and what to expect in the days ahead.
The excitement and energy of the first in-person Next since 2019 was one of the best parts for Forrest. With 1300 releases in just half the year, a lot has happened in BigQuery, AI, Looker, and more. Next includes announcements in many of these areas as well, as Google Cloud expands and makes Cloud easier for all types of projects and clients. Strategic partnerships and development have allowed better use of Google Cloud for the virtual work world and advancements in sustainability have helped Google users feel better about their impact on the environment.
New announcements in compute include C3 VMs, the first VM in the cloud with 4th Gen Intel Xeon scalable processors with Google’s custom Intel IPU. MediaCDN uses the YouTube infrastructure and the new Live Stream API optimizes streaming capabilities. Among many other announcements, Network Analyzer is now GA allowing for simplified network configuration monitoring and Google Cloud Armor has been extended to include ML-based Adaptive Protection capabilities. Software Delivery Shield and Cloud Workstations are recent offerings to help developers in each of the four areas of software supply chain management. Advancements in Cloud Build include added security benefits, and new GKE and Cloud Run logging and security alerts ensure projects remain secure through the final stages of development.
The best way to ensure secure, optimized work is with well-trained developers. And in that vein, Google Cloud is introducing Innovators Plus to provide a new suite of developer benefits under a fixed cost subscription. Forrest tells us about #GoogleClout and the challenges available in the Next portal for conference-goers. Assured Workloads helps with data sovereignty in different regions, Confidential Space in Confidential Computing provides trust guarantees when companies perform joint data analysis and machine learning training, and Chronicle Security Operations are some of the exciting security announcements we saw at Next.
On the show next week, we’ll go in depth on data announcements at Next, but Steph gives us a quick rundown of some of the biggest ones today. She talks briefly about announcements in AI, including Vertex AI Vision and Translation Hub. Forrest wraps up by talking about predictions for the future of tech and cloud.
Forrest BrazealForrest Brazeal is a cloud educator, author, speaker, and Pwnie Award-winning songwriter. He is the creator of the Cloud Resume Challenge initiative, which has helped thousands of non-traditional learners take their first steps into the cloud.
Cool things of the week Unlock biology & medicine potential with AlphaFold on Google Cloud video Interview Google Cloud Next ‘22 site Google Cloud Innovators site What’s next for digital transformation in the cloud blog New cloud regions coming to a country near you blog The next wave of Google Cloud infrastructure innovation: New C3 VM and Hyperdisk blog 20+ Cloud Networking innovations unveiled at Google Cloud Next blog Introducing Software Delivery Shield for end-to-end software supply chain security blog Developers - Build, learn, and grow your career faster with Google Cloud blog Advancing digital sovereignty on Europe’s terms blog Introducing Confidential Space to help unlock the value of secure data collaboration blog Introducing Chronicle Security Operations: Detect, investigate, and respond to cyberthreats with the speed, scale, and intelligence of Google blog What’s new in Google Cloud databases: More unified. More open. More intelligent. blog Building the most open data cloud ecosystem: Unifying data across multiple sources and platforms blog Introducing the next evolution of Looker, your unified business intelligence platform blog Vertex AI Vision site New AI Agents can drive business results faster: Translation Hub, Document AI, and Contact Center AI blog Open source collaborations and key partnerships to help accelerate AI innovation blog Google Cloud Launches First-of-Its-Kind Service to Simplify Mainframe Modernization for Customers in Financial Services, Retail, Healthcare and Other Industries article Project Starline expands testing through an early access program blog What’s something cool you’re working on?Steph is working on the developer keynote and DevFest and UKI Google Cloud Next Developer Day. Check out her Next talk “Simplify and secure your network for all workloads”.
HostsStephanie Wong
Wed, 12 Oct 2022 - 43min - 506 - 2022 State of DevOps Report with Nathen Harvey and Derek DeBellis
On the show this week, we’re talking updated DevOps practices for 2022 with hosts Stephanie Wong and Chloe Condon and our guests Nathen Harvey and Derek DeBellis.
Nathen and Derek start the show with a thorough discussion of DORA, the research program dedicated to helping organizations improve software delivery and operations, and the state of DevOps report that Google publishes every year. This year, the DevOps research team strengthened their focus on security and discovered that one of the biggest predictors in security practice adoption is company culture. Open, communicative, and trustful company cultures are some of the best for accepting and implementing optimized security practices. Derek tells us how company cultures are measured and scored for this purpose and Nathen talks about team and individual burnout and its affects on culture.
Low, medium, high, and elite teams are another indicator of culture, and Nathen explains how teams earn their label through four keys of software delivery performance. Each year, they let the data show these four clusters of team performance. But this year there were only three, and Derek talks more about this phenomenon and why the elite cluster seems to have disappeared. When operational performance analysis was added, the four clusters reemerged and were renamed to better suit the new analysis metrics. Nathen details these four new clusters: starting, which performs neither well nor poorly and may be just starting out; flowing, teams that are performing well across throughput, stability, and operational performance; slowing teams, which don’t have high throughput but excel in other areas; and retiring teams, which are reliable but not actively developing projects. We discuss how companies may shift from one cluster to another and how much context can affect this shift.
We talk about key findings in the 2022 DevOps report, especially in the security space. Some of the most notable include the adoption of DevOps security practices and the decreased incidence of burnout on teams who leverage security practices. Nathen and Derek elaborate on how this year’s research changed from last year and what remained the same.
Nathen HarveyNathen works with teams helping them learn about and apply the findings of our research into high performing teams. He’s been involved in the DevOps community for more than a decade.
Derek DeBellisDerek is a Quantitative User Experience Researcher at Google, where Derek focuses on survey research, logs analysis, and figuring out ways to measure concepts central to product development. Derek has published on Human-AI interaction, the impact of Covid-19’s onset on smoking cessation, designing for NLP errors and the role of UX in ensuring privacy.
Cool things of the week Try out Cloud Spanner databases at no cost with new free trial instances blog Chipotle Is Testing More Artificial Intelligence Solutions To Improve Operations article Gyfted uses Google Cloud AI/ML tools to match tech workers with the best jobs blog Interview 2022 Accelerate State of DevOps Report blog DevOps site 2022 State of the DevOps Report Report site DORA site DORA Community site SLSA site Security Software Development Framework site Westrum organizational culture site Google finds culture, not tech, is the biggest predictor of DevOps security outcomes article GCP Podcast Episode 205: DevOps with Nathen Harvey and Jez Humble podcast GCP Podcast Episode 284: State of DevOps Report 2021 with Nathen Harvey and Dustin Smith podcast GCP Podcast Episode 290: Resiliency at Shopify with Camilo Lopez and Tai Dickerson podcast What’s something cool you’re working on?Steph is working on talks for DevFest Nantes and a Google Cloud dev conference in London. She’ll be talking about subsea fiber optics and Google Cloud networking products.
Chloe is a Noogler, so she’s been working on learning as much as she can! She is excited to make her podcast debut this week!
HostsStephanie Wong and Chloe Condon
Wed, 05 Oct 2022 - 44min - 505 - DEI and Belonging in the Cloud with Jason Smith
Jason Smith, founder of the Mixed Googlers group here at Google, joins Stephanie Wong to talk about DEI and the importance of belonging in tech.
Jason helps us better understand what the concepts diversity, equity, inclusion, and belonging mean to him. It’s more than just including different types of people, Jason tells us, companies must also give them equal opportunities and say in their jobs. We talk about the difference between DEI and belonging. Belonging means feeling comfortable and accepted and conveys a more concrete, real-life sense of community that brings DEI to life. While DEI is easy enough for a company to measure, it’s sometimes tricky to get a clear picture of belonging in a company. Jason talks about possible solutions to this problem.
Growing up as the child of both a white and a black parent, Jason understands the importance of feeling a sense of belonging as a mixed race individual. In that vein, he founded Mixed Googlers, and he tells us more about how this group supports other mixed individuals at Google. He talks about the events they have hosted, including talks with famous mixed race speakers, and how the grassroots efforts to form and grow Mixed Googlers has created a great community.
Later, Jason talks about DEI and belonging in tech companies and cloud specifically. He introduces us to some fun ways to incorporate DEI principles into company culture in a way that encourages all individuals to contribute their personal perspectives. He stresses the importance of allowing mistakes, especially when discussing diversity issues with your coworkers, so the conversation can be about growth and not about confrontation.
Jason SmithJason Smith is a Customer Engineer supporting application modernization and the founder of Mixed Googlers, an ERG dedicated to mixed race individuals.
Cool things of the week Sign up for the Google Cloud Fly Cup Challenge blog Google Cloud Firewall introduces Network Firewall Policies, IAM-governed Tags and more blog Building trust in the data with Dataplex blog Interview Google Belonging site Google 2022 Diversity Annual Report site Sugi Dakks: Not the Only One | Talks at Google video Diversity, Equity, and Inclusion Keynote site BigQuery site What’s something cool you’re working on?Stephanie is working on content for Next and the Drone Racing League.
HostsStephanie Wong
Wed, 28 Sep 2022 - 33min - 504 - Vertex AI Experiments with Ivan Nardini and Karthik Ramachandran
Vertex AI Experiments with Ivan Nardini and Karthik Ramachandran
Hosts Anu Srivastava and Nikita Namjoshi are joined by guests Ivan Nardini and Karthik Ramachandran in a conversation about Vertex AI Experiments this week on the podcast. Vertex AI Experiments allows for easy, thorough ML experimentation and analysis of ML strategies.
Our guests start the show with a brief introduction to Vertex AI and go on to help us understand where Experiments fits in. Because building ML models takes trial and error as we figure out what architecture and data management will work best, Experiments is a handy tool that helps developers try different variations. With extensive tracking capabilities and analysis tools, developers can see what is working, what’s not, and get ideas for other things to try. Ivan tells us about the two concepts to keep in mind before using Experiments: runs, which are training configurations, and experiments, adjustments you make as you look for the best solution.
Vertex ML Metadata, a managed ML metadata tool, helps analyze Experiment runs in a graph, Ivan tells us. He takes us through an example ML model build and training using Vertex AI Experiments and other tools. He and Karthik also elaborate on the relationship between Vertex AI Experiments and Pipelines. We talk about the future of AI, including the foundational model, and some cool examples of what’s happening in the real world with Vertex AI Experiments.
Ivan NardiniIvan Nardini is a customer engineer specialized in ML and passionate about Developer Advocacy and MLE. He is currently collaborating and enabling Data Science developers and practitioners to define and implement MLOps on Vertex AI. He is an active contributor in Google Cloud.
Karthik RamachandranKarthik Ramachandran is a Product Managed on the VertexAI team. He’s been focused on developing MLOps tools like Vertex Pipelines and Experiments.
Cool things of the week Expanding the Google Cloud Ready - Sustainability initiative with 12 new partners blog Large Language Models and how they are used with Natural Language Understanding. pdf Interview Vertex AI site Vertex AI Experiments docs Vertex AI SDK for Python docs Vertex ML Metedata docs Vertex AI Pipelines docs Vertex AI Workbench docs Vertex AI Tensorboard docs Track, compare, manage experiments with Vertex AI Experiments blog Vertex AI Experiments Notebooks site What’s something cool you’re working on?Anu is working on demos for Next.
Nikita is testing new features for Vertex AI.
HostsNikita and Anu Srivastava
Wed, 21 Sep 2022 - 26min - 503 - Storage Spotlight with Sean Derrington and Nishant Kohli
Host Stephanie Wong chats with storage pros Sean Derrington and Nishant Kohli this week to learn more about cost optimization with storage projects and exciting new launches in the Google Cloud storage space!
To start, we talk about the Storage Spotlight of years past and the cool Google Cloud products that Google is unveiling this year. Optimization is a huge theme this year, with a focus not only on cost optimization but also performance and resource use as well. Enterprise readiness and storage everywhere, Sean tells us, are the most important pillars as Google continues to improve offerings. We learn about Hyperdisk and the three customizable attributes users can control and the benefits of Filestore Enterprise for GKE for large client systems.
Nishant talks about Cloud Storage and how clients are using it at scale for their huge data projects. Specifically, Google Storage has been working to help clients with large-scale data storage needs to optimize costs with Autoclass. Storage Insights is another new tool launching late this year or early next year that empowers better decision-making through increased knowledge and analytics of storage usage.
GKE storage is getting a revamp as well with Backup for GKE to help clients recover applications and data easily. Google Cloud for Backup and DR helps keep projects secure as well. This managed service is easy to use and integrate into all cloud projects and can be used with on prem projects and then backed up into the cloud. This is ideal for clients as they shift to cloud or hybrid systems. Companies like Redivis take advantage of some of these new data features, and Nishant talks more about how Autoclass and other tools have helped them save money and improve their business.
Sean DerringtonSean is the Group Product Manager for the storage team. He is a long time storage industry PM veteran; he’s worked on Veritas, Symantec, Exablox (storage startup).
Nishant KohliNishant has a decade plus of Object Storage experience at Dell/EMC and Hitachi. He’s currently Senior Product Manager on the storage team.
Cool things of the week Cloud Next 2022 site Integrating ML models into production pipelines with Dataflow blog Four non-traditional paths to a cloud career (and how to navigate them) blog Interview What’s New & Next: A Spotlight on Storage site Google Cloud Online Storage Products site GCP Podcast Episode 277: Storage Launches with Brian Schwarz and Sean Derrington podcast GKE site Filestore site Filestore Enterprise site Filestore Enterprise for fully managed, fault tolerant persistent storage on GKE blog Cloud Storage site Cloud Storage Autoclass docs GCP Episode 307: FinOps with Joe Daly podcast Storage Insights docs GCP Podcast Episode 318: GKE Turns 7 with Tim Hockin podcast Backup for GKE docs Backup and DR Service site Redivis site What’s something cool you’re working on?Stephanie is working on new video content and two Next sessions: one teaching how to simplify and secure your network for all workloads and one talking about how our infrastructure partner ecosystem helps customers.
HostsStephanie Wong
Wed, 14 Sep 2022 - 30min - 502 - GKE Turns 7 with Tim Hockin
Tim Hockin joins Kaslin Fields and Anthony Bushong to celebrate GKE’s seventh birthday! Tim starts with a brief background on GKE from its beginnings in 2015 and its relationship to Borg to the visions Google developers had for the software. GKE is meant to help companies focus on what they’re good at and leave the rest to Google’s managed Kubernetes service.
Tim talks about his acting gig in a Kubernetes documentary, including some fun facts about Kubernetes’ early days and the significance of the number seven. Over time, the teams working on open source Kubernetes and GKE have worked together, with advances in the open source software influencing updates in GKE. Kubernetes 1.25 was released the day this episode was recorded, and Tim describes how much work and thought goes into building these updates.
GKE offers GCP users unique ways to leverage Kubernetes tools like scaling, and Tim shares stories about the evolution of some of these tools and his experiences with networking. Talking with the Kubernetes community has helped refine GKE mult-icluster tools to help companies solve real problems, and Tim tells us more about other features and updates coming with future iterations of GKE. KubeCon is in October, so come by and learn more!
Tim HockinTim Hockin is Principal Software Engineer working with Kubernetes at Google Cloud.
Cool things of the week What’s new with Google Cloud blog Power Your Business with Modern Cloud Apps: Strategies and Best Practices site Securing apps for Googlers using Anthos Service Mesh blog Interview GKE site Kubernetes site Anthos site Borg: The Predecessor to Kubernetes blog Enabling multi-cluster Gateways docs Cloud Load Balancing site Multi-cluster Services docs Keynote: From One to Many, the Road to Multicluster- Kaslin Fields, Developer Advocate, Google Cloud video GCP Podcast Episode 272: GKE Turns Six with Anthony Bushong, Gari Singh, and Kaslin Fields podcast What’s something cool you’re working on?Kaslin is working on NEXT and KubeCon stuff.
Anthony is working on GKE Essentials and getting ready to go on leave.
HostsKaslin Fields and Anthony Bushong
Wed, 31 Aug 2022 - 38min - 501 - Launching Products at Google Cloud with Anita Kibunguchy-Grant and Gabe Weiss
This week, Max Saltonstall and Stephanie Wong go behind the scenes at Google Cloud with Gabe Weiss and Anita Kibunguchy-Grant to learn how new products move from idea to market.
To start, our guests walk us through a typical end-to-end life cycle as Google creates new and exciting products for users. Starting with a problem sometimes brought to light by users, a solution is workshopped, and a team is brought together to tackle the issue. Once the product is workable, Gabe and his team step in to evaluate and pass it on to Anita for market launch. With examples like BigQuery Omni and AlloyDB, Anita and Gabe walk us through a real launch scenario, from naming the product to promotion and observing the satisfying impacts of a product solving real-world problems.
Anita details the three phases of a product launch and which teams are involved. The phases are pre-launch, during launch, and post-launch. In pre-launch, things like naming and messaging are crafted, priority is assigned via tier assignment, and plans are made to interact with various promotional and other teams who may need to be involved with the launch. Launch day activities are coordinated next as various marketing avenues are leveraged for maximum visibility and development teams work together to make the technical side successful. Post-Launch involves some debriefing on the success of the marketing as well as analysis of use, press coverage, page views, revenue, sentiment among users, and enabling sales teams for success.
Gabe talks about the importance of his team in the process as they test products for customer usability and QA before launch as well. He and Anita elaborate on the differences with Google launches versus other companies, including the stages involved in launch and the naming of these stages. Many launches are done at big Google Cloud events, like Google I/O, Anita points out as a unique feature of Google, which can be a gift and a curse. Challenges are addressed as our guests talk us through possible problems and the ways launch teams address them. Anita and Gabe emphasize empathy and communication in product launching and the importance of clear, productive feedback.
Anita Kibunguchy-GrantAnita Kibunguchy-Grant is a Product Marketing Lead at Google with extensive experience across Data Analytics and Databases products and solutions. Before Google, she led awareness and go-to-market programs at VMware.
She has an MBA from MIT Sloan School of Management and is passionate about helping customers use data and technology to transform their businesses.
Gabe WeissGabe leads the database advocacy team for the Google Cloud Platform team ensuring that developers can make awesome things, both inside and outside of Google. Prior to Google he’s worked in virtual reality production and distribution, source control, the games industry, and professional acting.
Cool things of the week Leveling up your data analysis skills as a student blog Catalog of Unabashed Gratitude site How Google Cloud blocked the largest Layer 7 DDoS attack at 46 million rps blog Interview BigQuery site Datastream site Database Migration Services site Cloud SQL site AlloyDB site PostgreSQL site Google I/O site Qwiklabs site Agones site Databases blog What’s something cool you’re working on?Max is wrapping up his hosting of summer interns and getting ready for vacation! He plans to play a lot of board games and video games!
Steph also enjoyed hosting interns this summer!
HostsStephanie Wong and Max Saltonstall
Wed, 24 Aug 2022 - 44min - 500 - Google Cloud for Higher Education with Laurie White and Aaron Yeats
On the podcast this week, our guests Laurie White and Aaron Yeats talk with Stephanie Wong and Kelci Mensah about higher education and how Google Cloud is helping students realize their potential. As a former educator, Laurie has seen the holes in tech education and, with the help of Google, is determined to aid faculty and students in expanding learning to include cloud education as well as the standard on prem curriculum. Aaron and Laurie work together toward this goal with programs like their Speaker Series.
Laurie’s approach involves supporting faculty as they design courses that incorporate cloud technologies. With the busy lives of students today, she recognizes that the best way to get the information into the hands of students is through regular coursework, not just through elective activities outside the regular classroom.
Aaron’s work with students and student organizations rounds out their support of higher education learning. He facilitates the creation of student clubs that use Cloud Skills Boost, a program in which students navigate full pathways as they learn the skills they need to create and manage cloud builds. Soon, Aaron will offer hack-a-thons that encourage students to attend weekend events to work together on passion projects outside of regular classwork.
Our guests talk more about the specifics of Google Cloud Higher Education Programs and the importance of incorporating certifications into the higher education learning process. Aaron talks about expanding the program and his hopes for reaching out to more schools and students and Laurie talks about the funding for students and how Google Cloud’s system of credits for students enables them to use real cloud tools without a credit card. Laurie and Aaron tell us fun stories about past student successes, conference interactions, and hack-a-thon projects that went well.
Laurie WhiteLaurie taught CS in higher ed for over 30 years where her biggest frustration was trying to keep the curriculum up with the field. She thought she was retiring seven years ago but got the call from Google to a job where she could help faculty around the world keep their curriculum up with cloud computing, so here she is.
Aaron YeatsAaron Yeats has been working in education outreach for two decades. His work in education has included Texas government education programs including public health, non-profit advocacy, and education.
Cool things of the week How Wayfair is reaching MLOps excellence with Vertex AI blog Hidden gems of Google BigQuery blog Google Cloud Innovators site Google Cloud and Apollo24|7: Building Clinical Decision Support System (CDSS) together blog Interview Google Cloud Higher Education Programs site Google Cloud Speaker Series site Google Cloud Skills Boost site CSSI site Tech Equity Collective site GDSC site What’s something cool you’re working on?Steph has been working on an AlphaFold video. You can learn more here.
Kelci is working on developing a Neos tutorial for introductory Google Cloud developers to learn how to write HTTP functions in Python all within the Google Cloud environment and wrapping up her summer internship with Google!
HostsStephanie Wong and Kelci Mensah
Wed, 17 Aug 2022 - 48min - 499 - Cloud Functions (2nd gen) with Jaisen Mathai and Sara Ford
Stephanie Wong and Brian Dorsey are joined today by fellow Googlers Jaisen Mathai and Sara Ford to hear all about Cloud Functions (2nd gen) and how it differs from the original.
Jaisen gives us some background on Cloud Functions and why it was built. Supporting seven languages, this tool allows clients to write a function without worrying about scaling, devops, and a number of other things that are handled by Cloud Functions automatically. Customer feedback led to new features, and that’s how the second evolution of Cloud Functions came about. Don’t worry, first gen users! This will continue to be available and supported.
Features in the 2nd gen fit into three categories: performance, cost, and control. Among other benefits, costs stay low or may even be reduced with some of the new features, larger instances and longer processing times mean better performance, and traffic splitting means better control over projects. Sara details an example illustrating the power of the new concurrency features, and Jaisen helps us understand when Cloud Functions is the right choice for your project and when it’s not. Our guests walk us through getting started with Cloud Functions and using the 2nd gen additions.
Companies like Lucille Games are using Cloud Functions, and our guests talk more about how specific users are leveraging the new features of the 2nd gen.
Jaisen MathaiJaisen is a product manager for Cloud Functions. He’s been at Google for about six years and before joining Google was both a developer and product manager.
Sara FordSara is a Cloud Developer Advocate focusing on Cloud Functions and enjoys working on serverless.
Cool things of the week No pipelines needed. Stream data with Pub/Sub direct to BigQuery blog Cloud IAM Google Cloud blog The Diversity Annual Report is now a BigQuery public dataset blog Interview Cloud Functions site Cloud Functions 2nd gen walkthrough video Cloud Functions version comparison docs Lucille Games: Playing to win with Google Cloud Platform site BigQuery site Cloud Run site Eventarc docs Cloud Shell site GCP Podcast Episode 261: Full Stack Dart with Tony Pujals and Kevin Moore podcast Working with Remote Functions docs Cloud Console site Where should I run my stuff? Choosing compute options video What’s something cool you’re working on?Stephanie has been working on GCP Support Shorts.
HostsStephanie Wong and Brian Dorsey
Wed, 10 Aug 2022 - 41min - 498 - Vertex Explainable AI with Irina Sigler and Ivan Nardini
Max Saltonstall and new host Anu Srivastava are in the studio today talking about Vertex Explainable AI with guests Irina Sigler and Ivan Nardini. Vertex Explainable AI was born from a need for developers to better understand how their models determine classifications. Trusting the operation of models for business decision making and easier debugging are two reasons this classification understanding is so important.
Explainable models help developers understand and describe how their trained models are making decisions. Google’s managed service, Vertex Explainable AI, offers Feature Attribution and Example Based Explanations to provide better understanding of model decision making. Irina describes these two services and how each works to foster better decision-making based on AI models. One or both services can be used in every stage of model building and to create a more precise model with better results. Example Based Explanations, Irina tells us, also makes it easier to explain the model to those who may not have strong technical backgrounds.
Ivan runs us through a sample build of a model taking advantage of the Vertex Explainable AI tools. Presets provide easier setup and use as well. We talk more about the benefits of being able to easily explain your models. When decision-makers understand the importance of your AI tool, it’s more likely to be cleared for production, for example. When you understand why your model is making certain choices, you can trust the model’s outcomes as part of your decision-making process.
Irina SiglerIrina Sigler is a Product Manager on the Vertex Explainable AI team. Before joining Google, Irina worked at McKinsey and did her Ph.D. in Explainable AI. She graduated from the Freie Universität Berlin and HEC Paris.
Ivan NardiniIvan Nardini is a customer engineer specialized in ML and passionate about Developer Advocacy and MLE. He is currently collaborating and enabling Data Science developers and practitioners to define and implement MLOps on Vertex AI. He also leads a worldwide hackathon community initiative and he is an active contributor in Google Cloud.
Cool things of the week Unify data lakes and warehouses with BigLake, now generally available blog What it’s like to have a hybrid internship at Google blog Interview Vertex AI site Explainable AI site Vertex Explainable AI docs Vertex Explainable AI Notebooks docs Feature Attribution docs AI Explanations Whitepaper site Explainable AI with Google Cloud Vertex AI article Why you need to explain machine learning models blog What’s something cool you’re working on?Anu just got back from a nice vacation and is picking back up on how to use our AI APIs with Serverless workflows. She’s working on some exciting tutorials for our AI backed Translation API.
Max just got back from family dance camp and is working to make excellent intern experiences.
HostsMax Saltonstall and Anu Srivastava
Wed, 03 Aug 2022 - 26min - 497 - Arm Servers on GCP with Jon Masters and Emma Haruka Iwao
We’re learning all about Arm servers on Google Cloud Platform this week. Hosts Brian Dorsey and Stephanie Wong welcome fellow Googlers Jon Masters and Emma Haruka Iwao to talk about the newest VMs on GCP.
To start, our guests dive in to Arm, explaining what it is and how it’s grown over the years. Nowadays, Arm-based chips dominate the mobile market and this volume has allowed them to build both advanced chips for supercomputers and beneficial partnerships. Emma explains how having the Arm architecture available in the cloud helps keep projects efficient and walks us through example setups of an Arm projects, illustrating the ease of setup in Google Cloud. Jon and Emma talk about the T2A VMs running Arm workloads at Google, including their balance of performance and cost.
Emma and Jon bust some myths about Arm, emphasizing how performant it is despite its humble beginnings.
Jon MastersJon Masters is a compute architect focused on Arm server architecture, platform standards, and ecosystem with almost a dozen years of experience working on Arm.
Emma Haruka IwaoEmma Haruka Iwao is a DevRel engineer focused on Compute products and a computer architecture enthusiast.
Cool things of the week Introducing Batch, a new managed service for scheduling batch jobs at any scale blog Examples of Batch for Transcoding site Using Google Kubernetes Engine’s GPU sharing to search for neutrinos blog Interview Arm site Arm Documentation docs Arm VMs on Computer docs Expanding the Tau VM family with Arm-based processors blog Run your Arm workloads on Google Kubernetes Engine with Tau T2A VMs blog Compute Engine site GKE site What’s something cool you’re working on?Brian is switching his focus from VMs to developer tooling.
HostsStephanie Wong and Brian Dorsey
Wed, 27 Jul 2022 - 35min - 496 - Managed Service for Prometheus with Lee Yanco and Ashish Kumar
Hosts Carter Morgan and Anthony Bushong are in the studio this week! We’re talking about Prometheus with guests Lee Yanco and Ashish Kumar and learning about the build process for Google Cloud’s Managed Service for Prometheus and how Home Depot uses this tool to power their business.
To begin with, Lee helps us understand what Managed Service for Prometheus is. Prometheus, a popular monitoring solution for Kubernetes, lets you know that your project is up and running and in the event of a failure, Prometheus lets you know what happened. But as Kubernetes projects scale and spread across the globe, Prometheus becomes a challenge to manage, and that’s where Google Cloud’s Managed Service for Prometheus comes in. Lee describes why Prometheus is so great for Kubernetes, and Ashish talks about CNCF’s involvement helps open source tools integrate easily. With the help of Monarch, Google’s Managed Service stands above the competition, and Lee explains what Monarch is and how it works with Prometheus to benefit users.
Ashish talks about Home Depot’s use of Google Cloud and the Managed Service for Prometheus, and how Home Depot’s multiple data centers make data monitoring both trickier and more important. With Google Cloud, Home Depot is able to easily ensure everything is healthy and running across data centers, around the world, at an immense scale. He describes how Home Depot uses Managed Service for Prometheus in each of these data center environments from the point of view of a developer and talks about how easy Prometheus and the Managed Service are to integrate and use.
Lee and Ashish wrap up the show with a look at how Home Depot and Google have worked together to create and adjust tools for increased efficiency. In the future, tighter integration into the rest of Google Cloud’s suite of products is the focus.
Lee YancoLee Yanco is the Product Management lead for Google Cloud Managed Service for Prometheus. He also works on Monarch, Google’s planet-scale in-memory time series database, and on Cloud Monitoring’s Kubernetes observability experience.
Ashish KumarAshish Kumar is Senior Manager for Site Reliability and Production Engineering for The Home Depot.
Cool things of the week Cloud Next registration is open site Introducing Parallel Steps for Workflows: Speed up workflow executions by running steps concurrently blog How to think about threat detection in the cloud blog GCP Podcast Episode 218: Chronicle Security with Dr. Anton Chuvakin and Ansh Patniak podcast Interview Prometheus site PromQL site Google Cloud Managed Service for Prometheus docs Kubernetes site CNCF site Monarch: Google’s Planet-Scale In-Memory Time Series Database research Cloud Monitoring site Cloud Logging site Google Cloud’s operations suite site What’s something cool you’re working on?Carter is focusing on getting organized, managing overwhelm, and comedy festivals.
Anthony is testing a few new exciting features, working with build provenance in Cloud Build, jobs and network file systems in Cloud Run.
HostsCarter Morgan and Anthony Bushong
Wed, 20 Jul 2022 - 37min - 495 - Distributed Cloud Edge for Telcos with DP Ayyadevara and Krishna Garimella
Stephanie Wong and Carter Morgan are back this week learning about Google’s Distributed Cloud Edge for telcos with guests Krishna Garimella and DP Ayyadevara. Launched last year, Google Distributed Cloud Edge has benefited companies across many industries. Today, our guests are here to elaborate on how telecommunications companies specifically are leveraging this powerful tool.
Because telcos deliver essential services, they tend to create detailed plans for their infrastructure in advance and stick with this setup for many years, DP tells us. Identifying the right tools for their project is vital, and Google has created and improved on many services to aid the telecommunications sector. Contact Center AI, for example, helps with customer service needs. Specifically, our guests elaborate on the modernization of telco networks through managed infrastructure offerings.
We learn more about Google Distributed Cloud Edge and the managed hardware and software stack that’s included. Container as a service for optimal network function is the first focus of Google in supporting telcos companies with Distributed Cloud and has been used for 5G rollouts. Google has been working behind the scenes to make Kubernetes more telco friendly as well, so that projects are more portable, scalable, and able to leverage Kubernetes benefits easily. Krishna gives us some great real-life examples of telecommunications companies using GDC Edge in areas like virtual broadband networks. In order to dedicate maximum resources to customer workloads, the team chose to keep the Kubernetes control plane in the cloud while worker nodes are at the edge. With superior security protection, minimal service disruption, and more, GDC Edge boasts fleet management as a core capability.
In order to continue satisfying telco’s needs, Google collaborates with many businesses to grow with changing customer needs.
Krishna GarimellaKrishna is a technology evangelist who has worked with service providers across the globe in the network and media areas.
DP AyyadevaraDP is the Product Group Product Manager leading Telco Network Modernization products and solutions at Google Cloud.
Cool things of the week Cloud TPU v4 records fastest training times on five MLPerf 2.0 benchmarks blog Show off your cloud skills by completing the #GoogleClout weekly challenge blog Interview Distributed Cloud site Distributed Cloud Edge Documentation docs Contact Center AI site Kubernetes site Anthos site Nephio site BigQuery site Vertex AI site What’s something cool you’re working on?Carter made a test for a video recap version of the recent pi episode.
Stephanie recently made a pi video as well and is working on an Alphafold video and the Cloud client library new reference docs homepage rollout.
HostsCarter Morgan and Stephanie Wong
Wed, 13 Jul 2022 - 36min - 494 - Disaster Recovery with Cody Ault and Jo-Anne Bourne
Your hosts Max Saltonstall and Carter Morgan talk with guests Cody Ault and Jo-Anne Bourne of Veeam. Veeam is revolutionizing the data space by minimizing data loss impacts and project downtime with easy backups and user-friendly disaster recovery solutions.
As a software company, Veeam is able to stay flexible with its solutions, helping customers keep any project safe. Cody explains what is meant by disaster recovery and how different systems might require different levels of fail-safe protection. Jo-Anne talks about the financial cost of downtime and how Veeam can help save money by planning for and preventing downtime. Veeam backup and replication is the main offering that can be customized depending on workloads, Cody tells us. He gives examples of how this works for different types of projects. Businesses can easily make plans for recovery and data backups then implement them with the help of Veeam. Cody talks about cloud migration and how Veeam can streamline this process with its replication services, and Jo-Anne emphasizes the importance of these recovery processes for data in the cloud.
The journey from fledgling Veeam to their current suite of offerings was an interesting one, and Cody talks about this evolution, starting with the simple VM backups of version 5. As companies have brought new recovery challenges, Veeam has grown to provide these services. Their partnership with Google has grown as well, as they continue to leverage Google offerings and support Google Cloud customers. We hear examples of Veeam customers and how they use the software, and Cody tells us a little about the future of Veeam.
Cody AultCody has been at Veeam for over 11 years in various roles and departments including Technical Lead for US Support team, Advisory Architect for Presales Solutions Architect and Staff Solutions Architect for Product Management Alliances. He has acted as the performance, databases, security, and monitoring specialist for North America for the Presales team and has helped develop the Veeam Design Methodology and Architecture Documentation template. Cody is currently working with the Alliances team focusing on Google Cloud, Kubernetes and Red Hat.
Jo-Anne BourneJo-Anne is a Partner Marketing Strategist who works with global companies to support them in positioning company products with their customer base. She is effective in developing strategic partnerships with International Resellers, CCaaS partners, Systems Integrators, OEM partners and ISV partnerships like Amazon, Microsoft, Avaya, Cisco, Five9, BT to develop strategies to enable sales teams to generate significant revenue and in turn, build profitability for the company. Jo-Anne is a brand steward successful in using analytics to create results-driven campaigns that increase brand awareness, generate sales leads, improve customer engagement and strengthen partner relationships.
Cool things of the week Announcing general availability of reCAPTCHA Enterprise password leak detection blog Cloud Podcasts site Bio-pharma organizations can now leverage the groundbreaking protein folding system, AlphaFold, with Vertex AI blog Interview Veeam site Veeam for Google Cloud site VeeamHub site Google Cloud VMware Engine site Cloud SQL site Kasten site Kubernetes site GKE site What’s something cool you’re working on?Carter is working on the new Cloud Podcasts website.
Max is working on research papers about how we built and deployed Google’s Zero Trust system for employees, BeyondCorp.
Kelci is working on creating a series of blog posts highlighting the benefits of having access to public data sets embedded within BigQuery.
HostsCarter Morgan and Max Saltonstall
Wed, 29 Jun 2022 - 36min - 493 - Contact Center AI with Amit Kumar and Vasili Triant
This week on the GCP Podcast, Carter Morgan and Max Saltonstall are joined by Amit Kumar and Vasili Triant. Our guests are here to talk about new features in Contact Center AI.
Amit starts the show helping us understand what Contact Center as a Service is and what makes this unified platform so useful for enterprise companies. The scalability helps keep costs down and overall satisfaction up while leveraging advances in cloud. UJET and Google Cloud have worked together to bring this AI advancement, and our guests describe the partnership and evolution CCAI. CCAI has streamlined the Contact Center as a Service space, helping businesses work efficiently and while putting an emphasis on positive experiences for the end customer.
CCAI users can use the platform straight out of the box or customize it to build specific experiences with tools like Dialogflow. Amit further describes the tools available like Interactive Voice Response and for which circumstances each tool would be most useful. The journey to CCAI can be easily managed by a team who knows the business well. We learn more about the onboarding experience and the skills required to transition.
Vasili talks about the past and future of Contact Center and how customer information is used not just for sales purposes but for bettering the customer service experience. Our guests share success stories from companies like FitBit and how CCAI is used to handle customer interactions through the app. Things like the call back feature save customers the time and frustration of waiting on hold and save businesses money.
Amit KumarAmit is responsible for bringing GCP’s native CCaaS offering to market and helps enterprise customers modernize their contact centers. Previously, Amit worked as a Cloud AI Incubator lead where he helped customers in adopting Google’s conversational AI technology. He also has an extensive background in large scale cloud transformational efforts and have worked with enterprise software companies mainly Salesforce and TIBCO Software.
Vasili TriantAs UJET’s Chief Operating Officer, Vasili Triant oversees all Go To Market activities including Sales, Channel, Alliances, and Customer Success. Triant brings more than 20 years of experience in Telecoms, Unified Communications (UC), and Contact Center industries, having previously served as VP/GM of Contact Center at Cisco, where he achieved the fastest growth in over a decade through a focus on global alliances and enterprise cloud-readiness.
Cool things of the week DALL-E mini site EbSynth site Announcing general availability of Confidential GKE Nodes blog Interview Contact Center AI Platform site Contact Center AI reimagines the customer experience through full end-to-end platform expansion blog UJET site Dialogflow site Google Assistant site One United Bank site FitBit site What’s something cool you’re working on?Max is working on expanding the podcast platform by collecting and adding more content.Carter is working on his Google Project Management: Professional Certificate.Kelci has been working on Google Cloud Skills Boost.
HostsCarter Morgan and Max Saltonstall
Wed, 22 Jun 2022 - 36min - 492 - New Pi World Record with Emma Haruka Iwao and Sara Ford
Carter Morgan and Brian Dorsey are working on their math skills today with guests Emma Haruka Iwao and Sara Ford. What kind of computing power does it take to break the world record for pi computations? Emma and Sara are here to tell us.
Emma tells us how she started with pi and how she and Sara came to work together to break the record. In 2019, Emma was on the show with her previous world record, and with the advancements in technology and Google products since, she knew she could do even more this year. Her 100 trillion digit goal wasn’t enough to scare people away, and Sara, along with other partners, joined Emma on the pi computation journey. Together, Sara and Emma talk about the hardware required, building the algorithm, how it’s run, and where the data is stored. Running on a personal computer was cheaper and easier than a super computer, and Emma explains why. Performing these immense calculations can also help illustrate just how far computers have come.
The storage required for this project was immense, and Emma tells us how they worked around some of the storage limitations. We hear more about Ycruncher and how it was used to help with calculations. Our guests talk about how things might change for computing and specifically for pi computations in the next few years, and Sara tells us about the storage journey from the perspective of a mathematician, and gives us some interesting facts about the algorithms involved, and we learn how world records are verified.
Emma Haruka IwaoEmma is a developer advocate for Google Cloud Platform, focusing on application developers’ experience and high performance computing. She has been a C++ developer for 15 years and worked on embedded systems and the Chromium Project. Emma is passionate about learning and explaining the most fundamental technologies such as operating systems, distributed systems, and internet protocols. Besides software engineering, she likes games, traveling, and eating delicious food.
Sara FordSara Ford is a Developer Advocate on Google Cloud focusing on Serverless. She received a Masters degree in Human Factors (UX) because she wants to make dev tools more usable. Her lifelong dream is to be a 97-year old weightlifter so she can be featured on the local news.
Cool things of the week New Cloud Podcasts Website site Even more pi in the sky: Calculating 100 trillion digits of pi on Google Cloud blog Interview GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao podcast pi.delivery 100 Trillion Digits site pi.delivery Github site A History of Pi book Distributing historically linear calculations of Pi with serverless video Ycruncher site Compute Engine site Cloud Functions site SRE site Terraform site What’s something cool you’re working on?Carter and Brian are working on a new season of VM End to End
HostsCarter Morgan and Brian Dorsey
Wed, 15 Jun 2022 - 39min - 491 - FinOps with Joe Daly
On the podcast this week, guest Joe Daly tells Stephanie Wong, Mark “Money” Mirchandani, and our listeners all about FinOps principles and how they’re helping companies take advantage of the cloud while saving their bottom lines. He describes FinOps as financial DevOps, making financial decisions in an effective and optimized way. With his experience in finance and tax accounting, Joe has developed a special knack for navigating the sometimes confusing world of cloud finance policies, and his contributions to the FinOps Foundation have been many.
For starters, collaboration with various business departments is important for developing a plan that leverages the benefits of the cloud but keeps the company using resources wisely, Joe explains. He talks about the FinOps Foundation and their focus on creating community for knowledge sharing. By fostering collaboration among different company roles and promoting financial education, companies are better able to determine financial goals while making sure each facet of the company reaps all the benefits of cloud participation.
Following the FinOps cycle is the easiest way for community members to get started. The three steps, Joe tells us, are inform, optimize, and operate. The inform phase involves clarity in spending so teams understand how much money is being spent. In the optimize phase, benefits of spending are matched with expenditures to ensure resources are being used to their full potential. Finally, in the operate phase, engineers and finance managers come together to understand why solutions were chosen and understand if these tools are offering the right answers for the company.
Every company is different but the sooner it’s possible to start the FinOps journey the easier it will be to maintain in the future. Joe gives us examples of how companies are using the principles for successful strategies and the challenges that some of them have faced. The Foundation has monthly summits that offer perspectives from these companies as well as partner presentations. The FinOpsX conference is coming up soon as well. To wrap up, Joe offers other resources from the FinOps Foundation, including his podcast.
Joe DalyJoe set up two FinOps teams at Fortune 100 companies. He joined the FinOps Foundation and has been setting up the ambassador program, supporting meetup groups, and producing FinOpsPod.
Cool things of the week AlloyDB for PostgreSQL under the hood: Columnar engine blog GCP Podcast Episode 304: AlloyDB with Sandy Ghai and Gurmeet “GG” Goindi podcast How Google Cloud is helping more startups build, grow, and scale their businesses blog Automate identity document processing with Document AI blog Interview FinOps Foundation site FinOpsX site FinOpsPod podcast Cloud FinOps: The Secret To Unlocking The Economic Potential Of Public Cloud whitepaper Maximize Business Value with Cloud FinOps whitepaper Unlocking the value of cloud FinOps with a new operating model whitepaper HostsStephanie Wong and Mark Mirchandani
Wed, 08 Jun 2022 - 39min - 490 - Network Analyzer with Zach Seils and Manasa Chalasani
Stephanie Wong and Lorin Price welcome guests Zach Seils and Manasa Chalasani to talk about networking and the newly released Network Analyzer. Google Cloud’s Network Intelligence Center is described as a one-stop shop that simplifies network monitoring, troubleshooting, workload expansion, security, and more. Manasa tells us about the four modules of Network Intelligence Center and how they work together.
As part of Network Intelligence Center, the new Network Analyzer monitors and proactively runs tests and detects issues on the network automatically, taking the guesswork out of network troubleshooting. Network Analyzer checks the entire network ecosystem, finding any connectivity issues and extrapolating them to other similar situations as well. Zach tells us more about the specific features of Analyzer, like its ability to check for overlapping or shadowed routes and validating network configurations in relation to any managed services being used.
Zach walks us through the set up of Network Analyzer and how to navigate results. Manasa expands on the development of Network Analyzer, including how customer feedback really shaped the project, and we hear about challenges along the way. Through examples, Zach describes different types of Analyzer customers and how they’re using the product. More analyzers will be available soon, and the team is open to suggestions for future projects.
Zach SeilsZach Seils is a Networking Specialist with Google Cloud, where he works with customers to accelerate their adoption of cloud networking.
Manasa ChalasaniManasa is a Product Manager on the Google Cloud Networking team with a focus on network observability.
Cool things of the week The new Google Cloud region in Columbus, Ohio is open blog Assembling and managing distributed applications using Google Cloud Networking solutions blog Interview Network Intelligence Center site Network Analyzer Documentation docs Introducing Network Analyzer: One stop shop to detect service and network issues blog CloudSQL site GKE site Cloud Monitoring site Contact the Network Analyzer team email GCP Podcast Episode 270: Traditional vs. Service Networking with Ryan Przybyl podcast What’s something cool you’re working on?Lorin is working on a new video series called Concepts of Networking on the Networking End to End Playlist
HostsStephanie Wong and Lorin Price
Wed, 01 Jun 2022 - 38min - 489 - GKE Release Channels with Kobi Magnezi and Abdelfettah Sghiouar
Kaslin Fields and Mark Mirchandani learn how GKE manages their releases and how customers can take advantage of the GKE release channels for smooth transitions. Guests Abdelfettah Sghiouar and Kobi Magnezi of the Google Cloud GKE team are here to explain.
With releases every four months or so, Kobi tells us that Kubernetes requires two pieces to be managed with each release: the control plane and the nodes. Both are managed for the customer in GKE. The new addition of release channels allows flexibility with release updating so customers can adjust to their specific project needs. Each channel offers a different updating mix and speed, and clients choose the channel that’s right for their project. The idea for release channels isn’t a new one, Kobi explains. In fact, Google’s frequent project releases, while keeping things secure and running well, also can be customized by choosing from an assortment of channels in other Google offerings like Chrome.
Our guests talk us through the process of releasing through channels and how each release marinates in the Rapid channel to be sure the version is supported and secure before being pushed to customers through other channels. We hear how release channels differ from no-channel releases, the benefits of specialized channels, and recommendations for customers as far as which channels to use with different development environments. Abdel describes real-world use cases for the Rapid, Regular, and Stable channels, the Surge Upgrade feature, and how GKE notifications with Pub/Sub helps in the updating process. Kobi talks about maintenance and exclusion windows to help customers further customize when and how their projects will update.
Kobi and Abdel wrap up with a discussion of the future of GKE release channels.
Kobi MagneziKobi is the Product Manager for GKE at Google Cloud.
Abdelfettah SghiouarAbdel is a Cloud Dev Advocate with a focus on Cloud native, GKE, and Service Mesh technologies.
Cool things of the week GKE Essentials videos KubeCon EU 2023 site KubeCon Call for Proposals site Kubernetes 1.24: Stargazer site GCP Podcast Episode 292: Pulumi and Kubernetes Releases with Kat Cosgrove podcast Optimize and scale your startup on Google Cloud: Introducing the Build Series blog Interview Kubernetes site GKE site Autoscaling with GKE: Overview and pods video GKE release schedule dcos Release channels docs Upgrade-scope maintenance windows docs Configure cluster notifications for third-party services docs Cluster notifications docs Pub/Sub site Agones site What’s something cool you’re working on?Kaslin is working on KubeCon and new episodes of GKE Essentials.
HostsMark Mirchandani and Kaslin Fields
Wed, 25 May 2022 - 47min - 488 - AlloyDB with Sandy Ghai and Gurmeet "GG" Goindi
AlloyDB for PostgreSQL has launched and hosts Mark Mirchandani and Gabe Weiss are here this week to talk about it with guests Sandy Ghai and Gurmeet Goindi. This fully managed, Postgres compatible database for enterprise use combines the power of Google Cloud and the best features of Postgres for superior data management.
AlloyDB began years ago as a solution to help manage huge data migrations to the cloud. Customers needed a way to take advantage of the benefits of cloud, modernizing their databases as they migrated in an easy, flexible, and scalable way. Databases had to maintain performance and availability while offering enterprise customers optimal security features and more. We learn why PostgreSQL is important in the equation and how AlloyDB is built with Google scaling abilities and ML while supporting open source compatibility.
We talk about data analytics workloads and how AlloyDB handles in-the-moment analytics needs. Our guests describe and compare different database offerings at Google, emphasizing the solutions that set AlloyDB apart. We chat about the types of projects each database is best suited for and how AlloyDB fits into the Google database portfolio. We hear examples of customers moving to AlloyDB and how they’re using this new service. Clients have been leveraging the embedded ML features for better data management.
Sandy GhaiSandy is a product manager on GCP Databases and has been working on the AlloyDB team since the beginning.
Gurmeet “GG” GoindiGG is a product manager at Google, where he focuses on databases and attends meetings. Prior to joining Google, GG led product management for Exadata at Oracle, where he also worked on databases and attended meetings. GG has had various product management, management, and engineering roles for the last 20 years in Silicon Valley, but his favorite meetings have been at Google. He holds an MBA from the University of Chicago Booth School of Business.
Cool things of the week Google I/O site Introducing “Visualizing Google Cloud: 101 Illustrated References for Cloud Engineers and Architects” blog Meet the people of Google Cloud: Priyanka Vergadia, bringing Google Cloud to life in illustrations blog Working with Remote Functions docs Interview AlloyDB for PostgreSQL site AlloyDB Documentation docs AlloyDB for PostgreSQL under the hood: Intelligent, database-aware storage blog PostgreSQL site Introducing AlloyDB for PostgreSQL video Introducing AlloyDB, a PostgreSQL-compatible cloud database service video BigQuery site Spanner site CloudSQL site What’s something cool you’re working on?Gabe is working on some exciting content to support landing the AlloyDB launch.
HostsMark Mirchandani and Gabe Weiss
Wed, 18 May 2022 - 47min - 487 - Geospatial Awakening in Global Supply Chains with Nathan Eaton and Denise Pearl
This week, Googler Denise Pearl and NGIS Executive Director Nathan Eaton join hosts Alexandrina Garcia-Verdin and Donna Schut to talk about how modern technology and data collection can significantly enhance environmental protection practices.
Denise starts the show with a thorough explanation of geospatial awakening and how Google is making its backend geo services like Google Earth Engine more usable for Google Cloud customers. With better data, easier access, and substantially more cloud compute power, companies are awakening to the possibilities of geospatial driven projects that analyze not just text but photographic data as well. Thousands of satellites collect information about Earth every day, and companies are realizing just how much of this data is available for their own sustainability, geo-centric, and location-based projects. Geospatial, Nathan explains, can help combine layers of text and photo data based on one location for a richer, more robust view of a particular location in real time.
As a geospatial partner with Google for a decade, NGIS has had experience using Earth Engine, Google Maps, and more to help Google Cloud customers use this data in meaningful ways. Because most projects involve analyzing locations as they change over time, companies need massive storage and processing power for their data. This is only made possible with the recent advances in infrastructure afforded by the cloud. With these amazing advances in technology, Denise and Nathan are seeing more and more exciting use cases. Companies are taking this data and making meaningful decisions for their future and the future of the planet. Sustainability goals like limiting deforestation in the supply chain can be made and measured. Climate change models can be created and applied. And all of this can be done quickly.
Nathan and Denise talk about TraceMark, the sustainable sourcing solution built by NGIS and made to integrate flexibly with customer projects. Consumers are increasingly aware of their affect on the environment and are pushing for change. With TraceMark, companies are able to see the environmental impact of their supply chain partners and make changes in line with customer values. These decisions can influence the growth of the company as well, as suppliers are vetted and chosen based on sustainability and availability. We hear about the building of TraceMark and the challenges the team overcame. Denise runs through some features of the software and how users can take advantage of them. Our guests give some great tips for organizations to get started with their data-driven sustainability goals, and Nathan talks about what’s next with NGIS and TraceMark.
Nathan EatonAs Executive Director at NGIS, Nathan has worked with hundreds of clients to deliver fit for purpose, innovative solutions. Nathan leads our GIS capabilities and stakeholder management including consulting with a range of large multinational companies and federal government departments. Most recently, Nathan has led the development, build and launch of TraceMark, a SaaS sustainable sourcing solution from NGIS, Google Cloud and partners Planet and CARTO.
Denise PearlDenise Pearl leads strategic ISV efforts for Google Cloud’s Geospatial, Earth Observation and Sustainability vertical. Her primary focus is to align engineering, marketing and sales teams within Google around the issues that matter to enterprise customers and government agencies enabling the use of technology to better solve sustainability challenges communities face across the globe.
Cool things of the week Planet and People AI Series videos Planet and People AI: Mapping carbon pollution globally with satellites video Geobeam site Interview GCP Podcast Episode 282: Geospatial Cloud and Earth Engine with Chad Jennings and Joel Conkling podcast Google Earth Engine site NGIS site NGIS and TraceMark site TraceMark site EO Data Science site EO Data Science GEE Impact site The technology and climate science helping CPG brands with sustainable sourcing blog Adopting real-world sustainability solutions with Google Cloud’s ecosystem blog Achieve Your Sustainability Goals with the Google Cloud Ecosystem site The data-driven path to real-world sustainability solutions whitepaper It takes an ecosystem: How the Google Cloud Partner Initiative speeds the transition to enterprise sustainability article Google Cloud Sustainability Summit site BigQuery site What’s something cool you’re working on?Dana is focusing on geospatial analytics, helping customers achieve their sustainability goals. She’s building solutions that solve repeatable problems.
AGV is getting ready for the Cloud Sustainability Summit on June 28th.
HostsAlexandrina Garcia-Verdin and Donna Schut
Wed, 04 May 2022 - 56min - 486 - BigLake with Gaurav Saxena and Justin Levandoski
Stephanie Wong and Debi Cabrera are learning all about BigLake from guests Gaurav Saxena and Justin Levandoski of the BigQuery team.
BigLake offers unified data management from both data warehouses and data lakes. What exactly is the difference between a data warehouse and a data lake? Justin explains what a data lake is, how they came to be, and the benefits. Each data option has its cons too, like the limitations of data lakes for enterprise use. Enter BigLake built on BigQuery, which helps enterprise clients manage and analyze their data from both data warehouses and data lakes. The best features of BigQuery are now available for Google Cloud Storage and across multi-cloud solutions.
Guarav describes BigLake behind the scenes and how the principles of BigQuery’s data management can now be used for open file formats in BigLake. It’s BigQuery for more data formats, Justin explains. BigLake solves many data problems quickly with a special emphasis on improving security. Our guests talk specifically about clients who gain the most from using BigLake, especially those looking to analyze distributed data and those who need easy and fast security and compliance solutions. With tightened security, BigLake offers access delegation and secure APIs that work over object storage. We hear about the user experience and how easy it is to get started, especially for customers already familiar with and using other GCP products.
Google’s advocacy of open source projects means many clients are coming in with workloads built with open source software. BigLake supports multi-cloud projects so that tables can be built on top of any data system. No matter the format of your data, you can run analytics with BigLake. We talk more about the security features of BigLake and how easy it is to unify data warehouses and data lakes with optimal data security.
The customers have helped shape BigLake, and Gaurav describes how these clients are using this data software. We hear about integration with BigQuery Omni and Dataplex and how BigLake is different. In the future, Google will continue to make simple, effective solutions for data management and analytics, building further off of BigQuery.
Gaurav SaxenaGaurav Saxena is a product management lead at Google BigQuery. He has 12+ years of experience building products at the intersection of cloud, data and AI. Before Google, Gaurav led product management at Microsoft Azure and Amazon Web Services for some of the most widely used cloud offerings in storage and data.
Justin LevandoskiJustin is a tech lead/manager in BigQuery leading BigLake and other projects pushing the frontier of BigQuery. Prior to Google, just worked on Amazon Aurora and was part of the Database research group at Microsoft Research.
Cool things of the week Your ultimate guide to Speech on Google Cloud blog Announcing the Climate Innovation Challenge—grants to support cutting-edge earth research blog Interview BigLake site BigQuery site Cloud Storage site Spark site Apache Ranger site BigQuery Omni docs Apache Iceberg site Delta Lake site Presto site TensorFlow site Dataplex site What’s something cool you’re working on?Debi is working on a series about automatic DLP. Cloud Data Loss Prevention is now automatic and allows you to scan data across your whole org with the click of one button!
HostsStephanie Wong and Debi Cabrera
Wed, 27 Apr 2022 - 41min - 485 - Spanner Myths Busted with Pritam Shah and Vaibhav Govil
This week, we’re busting myths around Cloud Spanner with our guests Pritam Shah and Vaibhav Govil. Mark Mirchandani and Max Saltonstall host this episode and learn about the fantastic capabilities of Cloud Spanner. Our guests give us a quick run-down of Spanner database software and its fully-managed offerings.
Spanner’s unique take on the relational database has sparked some myths. We start by addressing cost and the idea that Spanner is expensive. With its high availability achieved through synchronously replicating data, failures are virtually a non-issue, making the cost well worth it. Our guests describe other features that add to the value of Spanner as well. Workloads of any size are a good fit for Spanner because of its scalability and pricing based on use.
Despite rumors, Spanner is now very easy to start using. New additions like the PostgreSQL interface and ORM support have made the usability of Spanner much more familiar. Regional and multi-regional instances are supported, busting the myth that Spanner is only good for global workloads. Our guests offer examples of projects using local and global configurations with Spanner.
In the database world, Vaibhav sees trends like the convergence of non-relational and relational databases as well as convergence in the OLTP and OLAP database semantics, and he tells us how Spanner is adapting and growing with these trends. Pritam points out that customers are paying more attention to total cost of ownership, the importance of scalable and reliable database solutions, and the peace of mind that comes with a managed database system. Spanner helps customers with these, freeing up business resources for other things.
This year, Spanner has made many announcements about new capabilities coming soon, like PostgreSQL interface on spanner GA, Query Insights visualization tools, cross-regional backups GA, and more. We hear all about these awesome updates.
Pritam ShahPritam is the Director of Engineering for Cloud Spanner. He has been with Google for about four and a half years. Before Spanner, he was the Engineering Lead for observability libraries at Google. That included Distributed Tracing and Metrics at Google scale. His mission was to democratize the instrumentation libraries. That is when he launched Open Census and then took on Cloud Spanner.
Vaibhav GovilVaibhav is the Product lead for Spanner. He has been in this role for the past three years, and before this he was a Product Manager in Google Cloud Storage in Google. Overall, he has spent close to four years at Google, and it has been a great experience.
Cool things of the week Our plans to invest $9.5 billion in the U.S. in 2022 blog A policy roadmap for 24⁄7 carbon-free energy blog SRE Prodcast site Meet the people of Google Cloud: Grace Mollison, solutions architect and professional problem solver blog GCP Podcast Episode 224: Solutions Engineering with Grace Mollison and Ann Wallace podcast Interview Spanner site Cloud Spanner myths busted blog PostgreSQL interface docs Cloud Spanner Ecosystem site Spanner: Google’s Globally-Distributed Database white paper Spanner Docs docs Spanner Qwiklabs site Using the Cloud Spanner Emulator docs GCP Podcast Episode 62: Cloud Spanner with Deepti Srivastava podcast GCP Podcast Episode 248: Cloud Spanner Revisited with Dilraj Kaur and Christoph Bussler podcast Cloud Spanner federated queries docs What’s something cool you’re working on?Max is working on a new podcast platform and some spring break projects.
HostsMark Mirchandani and Max Saltonstall
Wed, 20 Apr 2022 - 35min - 484 - GKE Gateway Controller with Bowei Du and Abdelfettah Sghiouar
Hosts Anthony Bushong and Kaslin Fields welcome Bowei Du and Abdelfettah Sghiouar to talk about the Gateway Controller, a tool that helps developers use the Gateway API in GKE.
Bowei starts the show with a thorough explanation of how and why the Gateway Controller was developed. Compared to tools like Ingress, Gateway Controller allows engineers to implement more expressive solutions. While providing developers with portability has been an important part of Gateway Controller, it also gives developers freedom to use non-portable features in a structured, consistent environment and helps manage tenancy across different teams. Bowei and Abdel describe the difference between Ingress and Service and how these tools fit in with Gateway Controller. Abdel walks us through how a company would use the Gateway Controller for optimal tenancy management across name spaces and how this is an improvement over Ingress and Service. He gives examples of how companies are using this new tool.
We hear more about the GKE Gateway Controller and how its fully-managed deployments and integration with other Google APIs make it so easy to use. Bowei tells us how Gateway helps with the unification of mesh and non mesh environments through the standardization of noun describers in both instances. A handy edge to mesh tutorial is available to help developers.
Abdelfettah SghiouarAbdel is a Cloud Dev Advocate with a focus on Cloud native, GKE, and Service Mesh technologies.
Bowei DuBowei is tech lead on Gateway Controller and a specialist in distributed systems and networking.
Cool things of the week Strengthening your DevOps muscle site Interview Kubernetes site GKE site GKE Gateway API docs Kubernetes Gateway API site Ingress docs Service docs From edge to mesh: Exposing service mesh applications through GKE Ingress docs Google Cloud Armor site Kubernetes Slack site Slack channel: #sig-network-gateway-api GKE Networking Recipes GitHub repo site The evolution of Kubernetes networking with the GKE Gateway controller blog What’s something cool you’re working on?Kaslin is working on KubeCon EU.
Anthony is working on software supply chain security with Cloud Build.
Kaslin and Anthony are working together on the GKE Essentials Series
HostsAnthony Bushong and Kaslin Fields
Wed, 13 Apr 2022 - 36min - 483 - Apache Beam with Kenneth Knowles and Pablo Estrada
On the podcast this week, your hosts Stephanie Wong and Mark Mirchandani talk about the data processing tool Apache Beam with guests Pablo Estrada and Kenneth Knowles.
Kenn starts us off with an overview of how Apache Beam began and how Cloud Dataflow was involved. The unique batch and stream method and emphasis on correctness garnered support from developers early on and continues to attract users. Pablo helps us understand why Beam is a better option for certain projects looking to process large amounts of data. Our guests describe how Beam may be a better fit than microservices that could become obsolete as company needs change.
Next, we step back and take a look at why batch and stream is the gold standard of data processing because of its balance between low latency and ease of “being done” with data collection. Beam’s focus on the correctness of data and correctness in processing that data is a core component. With good data, processing becomes easier, more reliable, and cheaper. Kenn gives examples of how things can go wrong with bad data processing. Beam strives for the perfect combination of low latency, correct data, and affordability. Users can choose where to run Beam pipelines, from other Apache software offerings to Dataflow, which means excellent flexibility. Our guests talk about the pros and cons of some of these options and we hear examples of how companies are using Beam along with supporting software to solve data processing challenges.
To get started with Beam, check out Beam College or attend Beam Summit 2022.
Kenneth KnowlesKenn Knowles is chair of the Apache Beam Project Management Committee. Kenn has been working on Google Cloud Dataflow—Google’s Beam backend—since 2014. Kenn holds a PhD in programming languages from the University of California, Santa Cruz.
Pablo EstradaPablo is a Software Engineer at Google, and a management committee member for Apache Beam. Pablo is big into working on an open source project, and has worked all across the Apache Beam stack.
Cool things of the week Under the sea: Building the world’s fiber optic internet video Discovering Data Centers videos Google Data Cloud Summit site It’s official—Google Distributed Cloud Edge is generally available blog GCP Podcast Episode 228: Fastly with Tyler McMullen podcast Save big by temporarily suspending unneeded Compute Engine VMs—now GA blog Interview Apache Beam site Apache Beam Documentation site Dataflow site Apache Flink site Apache Spark site Apache Samza site Apache Nemo site Spanner site BigQuery site Beam College site Beam College on Github site Beam Developer Mailing List email Beam User Mailing List email Beam Summit site What’s something cool you’re working on?Mark is working on a new Apache Beam video series Getting Started Wtih Apache Beam
HostsStephanie Wong and Mark Mirchandani
Wed, 06 Apr 2022 - 39min - 482 - Celebrating Women's History Month with Vidya Nagarajan Raman
Stephanie Wong and Debi Cabrera host a special episode highlighting the amazing accomplishments of our guest Vidya Nagarajan Raman as we celebrate Women’s History Month! With her more than 20 years of experience fostering growth and monetization in enterprise and education platforms, investing and working in the holistic lifestyle space, and earning her MBA while raising her two children, Vidya has certainly done a lot!
Vidya tells us about her latest blog post stressing the importance of being an event-driven organization. In this business structure, reactions to events are planned in advance and developers consider how services are integrated for maximum efficiency. With synchronous extensions, projects retain flexibility in existing applications as they work with Cloud Functions to extend to new areas. Vidya gives our listeners examples of how this works.
The journey from engineer to Head of Product Management was an interesting one for Vidya, and she describes how she got started in computer engineering. Her passion for connecting with users later pushed her to product management. She tells us about her contributions to Chromebooks for Education as well as other milestones during her time with Google. Vidya talks about the support system she credits with helping her along the way and gives our listeners advice for finding mentors in their fields. She touches on the challenges she faced, describes what it was like for a woman in the industry when she first started, and offers encouragement to women getting started now. Balancing work, continuing her education, and raising children was tough, but Vidya says that, along with her incredible professional and personal support systems, defining priorities is vital.
Vidya offers our listeners the insights she’s gained as she’s watched Google and workplace teams change and adapt over the years. Building an inclusive team, encouraging diverse perspectives, and defining a framework for settling disagreements are some of the pieces of advice she shares. Don’t be afraid to fail and be a risk-taker, Vidya says, because that promotes growth and learning. If you learn something new every day and have fun doing it, then you will be successful.
In her spare time, Vidya leads a charitable foundation that partners with organizations in countries like India and Peru to further education, build orphanages and libraries, and provide medical care for women. She is an angel investor and runs workshops on creating a holistic lifestyle to help others lead well-rounded, fulfilling lives.
Vidya Nagarajan RamanVidya Nagarajan Raman is the Head of Product Management for Serverless at Google Cloud. She is also an angel investor, advisor, and co-founder of a holistic lifestyle platform that empowers people to grow and transform their lives.
Cool things of the week Ready to solve for the future? Data Cloud Summit ‘22 is coming April 6 blog Visualizing Google Cloud: 101 Illustrated References for Cloud Engineers and Architects site Interview Evolving to a programmable cloud blog Cloud Functions site Cloud Run site Eventarc docs Work Flows site Chromebook site What’s something cool you’re working on?Debi is working on Apache Beam series with Mark Mirchandani.
Stephanie is working on scripts for a series about getting into a career in cloud.
HostsStephanie Wong and Debi Cabrera
Wed, 30 Mar 2022 - 41min - 481 - Fathers of the Internet with Vint Cerf
This week, Stephanie Wong and Anthony Bushong introduce a special podcast of the Gtalk at Airbus speaker series where prestigious Googlers have been invited to talk with Airbus. In this episode, Vint Cerf, who is widely regarded as one of the fathers of the Internet, talks with Rhys Phillips of Airbus and fellow Googler Rafael Lami Dozo.
Vint tells us about his journey to Google, including his interest in science which stemmed from a chemistry set he received as a child. After high school, he got a job writing data analyzation software on the Apollo project. His graduate work at UCLA led him to the ARPANet project where he developed host protocols, and eventually to his work on the original Internet with Bob Kahn. Vint tells us about the security surrounding this project and the importance of internet security still today.
The open architecture of the internet then and now excites Vint because it allows new, interesting projects to contribute without barriers. Vint is also passionate about accessibility. At Google, he and his team continue to make systems more accessible by listening to clients and adapting software to make it usable. He sees an opportunity to train developers to optimize software to work with common accessibility tools like screen readers to ensure better usability.
Later, Vint tells us about the Interplanetary Internet, describing how this system is being built to provide fast, effective Internet to every part of the planet. Along with groups like the Internet Engineering Task Force, this new Internet is being deployed and tested now to ensure it works as expected. He talks about his work with NASA and other space agencies to grow the Interplanetary Internet.
Digital obsolescence is another type of accessibility that concerns Vint. Over time, the loads of data we store and their various storage devices could become unreadable. Software needed to use or see this media could no longer be supported as well, making the data inaccessible. Vint hopes we will begin practicing ways to perpetuate the existence of this data through copying and making software more backward compatible. He addresses the issues with this, including funding.
Vint CerfWhile at UCLA, Vint Cerf worked on ARPANet - the very beginnings of what we know as the internet today and is now, fittingly, Chief Internet Evangelist & VP at Google. He is an American Internet pioneer and is recognized as one of “the fathers of the Internet”, sharing this title with TCP/IP co-developer Bob Kahn.
Rhys PhillipsRhys Phillips is Change and Adoption Leader, Digital Workplace at Airbus.
Rafael Lami DozoRafael Lami Dozo is Customer Success Manager, Google Cloud Workspace for Airbus.
Cool things of the week Celebrating Pi Day with Cloud Functions blog Apollo Scales GraphQL Platform using GKE blog Interview Vinton G. Cerf Profile site ARPANet on Wikipedia site To Boldly Go Where No Internet Protocol Has Gone Before article Building the backbone of an interplanetary internet video IETF site CCSDS site IPNSIG site The Internet Society site NASA site What’s something cool you’re working on?Stephanie is working on new Discovering Data Centers videos.
Anthony is working on content for building scalable GKE clusters.
HostsStephanie Wong and Anthony Bushong
Wed, 23 Mar 2022 - 41min - 480 - SQL Commenter with Nimesh Bhagat and Morgan McLean
First time co-host Jan Kleinert joins Mark Mirchandani this week to talk about database observability and the cool tools that make it possible. Morgan McLean and Nimesh Bhagat describe database observability, which uses metrics, logs, and other tools to help users understand the health of your database.
We talk about Object Relational Mappers and the challenges with using these for debugging database performance. SQL Commenter helps database observability in two ways: it is both a library and a standard, Nimesh tells us. He describes the process for us, detailing exactly how SQL Commenter effects projects. Recently, SQL Commenter was donated to OpenTelemetry to augment the observability offerings, create an application standard, and make it easier for developers to use a variety of different tools and languages. Engineers can get end-to-end traces no matter which database technologies they use.
Morgan tells us about Splunk and how information from SQL Commenter is taken into Splunk and used. Backend data like metrics from Cloud Monitoring and client libraries can be correlated together with SQL Commenter and brought into Splunk for full stack observability. Nimesh offers client examples to help us understand how these useful tools integrate for optimal observability. He tells us about the databases and ORMs supported by SQL Commenter. Our guests and co-host Jan give tips to help our listeners get started with SQL Commenter and talk about what they’re looking forward to in the future of observability.
Nimesh BhagatNimesh is a product manager at Google Cloud, he leads Database Observability. He has worked across engineering and product roles, building highly available and high performance enterprise infrastructure used by Fortune 500 companies. His passion lies in combining powerful infrastructure with simple user experience so that every business and developer can build software at scale and velocity.
Morgan McLeanMorgan is Director of Product Management at Splunk and co-creator of OpenCensus / OpenTelemetry.
Cool things of the week Google Cloud Innovators site Redesigning the Cloud SDK + CLI for easier development blog GCP Podcast Episode 291: Redesigning the Cloud SDK and CLI with Wael Manasra and Cody Oss podcast What is Active Assist? video GCP Podcast Episode 235: Active Assist with Chris Law + MariaDB SkySQL with Robert Hedgepeth podcast Interview SQL Commenter site Sequelize site SQL Alchemy site ADO.net site GCP Podcast Episode 247: Cloud SQL Insights with Nimesh Bhagat podcast OpenTelemetry site Splunk site Cloud Monitoring site Cloud Spanner site Cloud SQL site Cloud Trace site Sqlcommenter now extending the vision of OpenTelemetry to databases blog HostsMark Mirchandani and Jan Kleinert
Wed, 16 Mar 2022 - 42min - 479 - Google Cloud Reader with Jenny Brown
On the show this week, we’re talking about Google Cloud Reader, a nifty podcast we created to narrate Google Tech blog posts. Host Jenny Brown tells us her inspiration for creating Google Cloud Reader and she and cohost Stephanie Wong walk us through a series of published episodes.
First up, we learn what Cloud SQL Maintenance is and how customers can customize maintenance schedules to limit the impacts of downtime. Region picker is the topic of our next segment, and we hear how it helps projects stay cost efficient while conserving resources. Using three inputs, companies can decide quickly which region offers the best balance between cost, latency, and carbon footprint for them. Next, we learn about search abandonment’s effect on brand loyalty and how important it is for the right products to show in search results.
We tackle the working environment with the next piece, redefining productivity to make it more personal and less robotic and offering advice on being productive while maintaining a good work-life balance. Making learning more personalized is the subject of our next segment. We hear how Google is using AI to aid the instruction of students no matter their learning style. Building diversity, equity, and inclusion into companies is important for success, and our last segment offers advice on how to incorporate DEI initiatives to ensure employees feel valued.
Cool things of the week Build a data mesh on Google Cloud with Dataplex, now generally available blog From watersheds to Koala habitats - tackling ecosystem restoration with data blog Interview Understanding Cloud SQL Maintenance: why is it needed? blog Cloud SQL site Faster, cheaper, greener? Pick the Google Cloud region that’s right for you blog Google Cloud Region Picker on GitHub site Reduce your cloud carbon footprint with new Active Assist recommendations blog Research: Search abandonment has a lasting impact on brand loyalty blog Why Search Abandonment Is the Metric That Matters video The Google Workspace guide to productivity and wellbeing blog New Google Cloud Student Success Services help educators scale individualized learning blog Why representation matters: 6 tips on how to build DEI into your business blog Why representation matters blog HostsStephanie Wong and Jenny Brown
Mon, 07 Mar 2022 - 48min - 478 - Looker with Leigha Jarett and Debi Cabrera
Guests Leigha Jarett and Debi Cabrera from the Looker team join Mark Mirchandani this week to talk about this powerful tool. Looker, Google’s data analytics platform, was built to provide enterprise companies with customizable analytics tools that allow anyone to get the data they need when they need it. This facilitates better business decisions.
Leigha talks about how Looker and LookML keep data consistent among data analysts no matter where they pull data from or what they do with it. Data is more trustworthy, fostering a positive data-driven business. She details how LookML works, from database connection to metric creation, and tells us how easy it is for non-data engineers to work with as well.
Robust data analysis based on trusted data points used to drive decision making is how Looker builds an environment of business intelligence rather than simple reporting. By offering easy integration into other Google tools like Data Studio and BigQuery, Looker is easy to set up, learn, and use. Our guests help listeners navigate Looker’s Explore From Here functionality and explain how it could help them answer important business questions. With advanced admin permissioning, Looker also helps limit the chaos that comes with multiple people accessing the same data.
Later, we hear real-world examples of companies taking the Looker journey. Our guests offer advice based on these experiences with clients and talk about how client feedback has influenced new Looker tools, like the Looker Tableau Connector that’s coming soon. We hear about the relationship between BigQuery and Looker and suggestions for companies newly embarking on their data journey.
Leigha JarettLeigha is a Product Manager for Looker’s application platform. She focuses on making Looker both simple and powerful for developers.
Debi CabreraDebi recently became a Developer Advocate after being at Looker for three years as an Engagement Manager and StratOps PgM. You can find her on Linkedin
Cool things of the week Introducing a Google Cloud architecture diagramming tool blog Black History Month: Celebrating the success of Black founders with Google Cloud: DOSS blog Interview Looker site LookML site Data Studio site Looker Connect site Looker Documentation docs Looker Products Page site Tableau site Google Cloud Training site Google Cloud Skills Boost site Looker and BigQuery Important Considerations whitepaper BigQuery Playlist videos Data Analytics Playlist videos Looker Channel videos Contact Google Cloud Support site Request a Free Trial site What’s something cool you’re working on?Debi is planning her wedding!
HostsMark Mirchandani and Debi Cabrera
Wed, 23 Feb 2022 - 45min - 477 - Data Journeys with Bruno Aziza
On the show this week, Mark Mirchandani and Stephanie Wong share two popular episodes of Bruno Aziza’s YouTube series Data Journeys.
First up, Bruno talks with Aaron Biller of Postmates about their triangle of complex data that includes customer, courier, and merchant. He details their data storage and analytics structure, describing it as a reverse pyramid of tons of data with few engineers to manage and analyze it. To handle this, Postmates takes a stay-out-of-the-way approach by providing good data and letting the analysts do what they do best without micromanaging. Aaron talks about this data architecture, including the use of BigQuery as data lakes to keep data storage simple, and how Google collaboration tools streamline access and authorization tasks. Communication and flexibility are important, Aaron tells us, and he offers other advice for companies designing data systems. Feedback loops, dedicated training, and an open environment with no silos also help foster a productive, healthy data workplace.
Matteo of Delivery Hero speaks to Bruno next. With the goal of increasing their global reach and offerings, it’s important that Delivery Hero has a smooth data system. Matteo outlines the new data structure they’ve built to ease onboarding of new companies and territories and describes different use cases for their data. From determining the number of delivery people necessary in each area to offering personalized customer recommendations, Delivery Hero uses Google offerings like Google Analytics and BigQuery to interpret collected data. Matteo details how they tailor data infrastructures for each use case and offers tips to help companies think through their data infrastructure design. Don’t work in a bubble, Matteo stresses, and focus on thorough onboarding of team members and clear communication with colleagues and customers.
Bruno AzizaBruno is the Head of Data & Analytics at Google Cloud. He specializes in everything data, from data analytics, to business intelligence, data science, and artificial intelligence. Before working at Google, he worked at companies like Business Objects when it went IPO and Oracle, where his team led a big turnarounds in the business analytics industry. Bruno also had the opportunity to help launch startups like Alpine Data (now part of Tibco). Sisense and AtScale and helped Microsoft grow its Data unit into a $1B business. He has been educated in the US, France, the UK, and Germany and has written two books on Data Analytics and Performance Management. In his spare time, Bruno writes a monthly column on Forbes.com on everything Data, AI and Analytics.
Aaron BillerAaron is the Manager of Data Engineering at Postmates.
Matteo FavaMatteo is Senior Director of Global Data Products and Analytics at Delivery Hero.
Cool things of the week Celebrating National Muffin Day with machine learning blog Managed Istio-based service mesh on our managed GKE clusters: Anthos Service Mesh comes to GKE Autopilot blog Interview Data Journeys videos Episode 12: How Postmates delivers on data needs with just six data engineers video Episode 5: How Delivery Hero uses data to deliver meals video BigQuery site Google Workspace site Dataproc site Pub/Sub site Google Analytics site Looker site Tableau site Data Studio site GCP Podcast Episode 266: Data Analytics Launches with Bruno Aziza and Eric Schmidt podcast GCP Podcast Episode 281: Google Cloud Next Data, Analytics, and AI Launches with Eric Schmidt and Bruno Aziza podcast What’s something cool you’re working on?Steph is working on the next Ask Google Cloud event and she wants your Kubernetes questions!
HostsMark Mirchandani and Stephanie Wong
Wed, 16 Feb 2022 - 43min - 476 - Pulumi and Kubernetes Releases with Kat Cosgrove
Brian Dorsey and Kaslin Fields welcome Kat Cosgrove of Pulumi this week to talk about what’s new with Kubernetes 1.24. Pulumi is infrastructure as code, allowing developers to use whatever language they are comfortable with to create and test infrastructure. Kat walks us through typical Pulumi infrastructure test scenarios to demonstrate the benefits of this software, especially with GCP.
In the new Kubernetes release, one of the biggest updates is the removal of Dockershim. If you’re using a managed Kubernetes service through GCP, this update should not affect you, Kat tells us. She clears up some common Docker misconceptions and tells us how Kubernetes and Docker still work together. Kat describes the situations where this update might affect certain projects and how to tell if you’re one of the unlucky few.
Later, we talk about the future of tech conferences. Kat is excited to get back to some in-person learning and networking, but at the same time, is hopeful that conferences will continue a hybrid model and allow some online interaction. Pulumi will be at KubeCon, Devlopsdays, and Jfokus in the next few months with some cool new free merchandise.
Kat CosgroveKat is Staff Developer Advocate at Pulumi.
Cool things of the week Find products faster with the new All products page blog Introducing Ephemeral Containers blog Open sourcing the App Engine Standard Java runtime blog Interview Pulumi site Kubernetes site Docker site Kubernetes 1.24 Release Notes site GKE site We Didn’t Start the Fire: Communication Breakdowns and How to Prevent Them - Ian Coldwater, Twilio & Kat Cosgrove, JFrog video Jfokus site Devopsdays Chicago site KubeCon EU Valencia site What’s something cool you’re working on?Brian just started releasing the next six episodes of VMs End-to-end. It’s a video series all about Compute Engine, starting with a discussion of building reliable systems from unreliable components.
Kaslin is working on the GKE/OSS K8s Events.
Cloud OnAir Webinar - February 24th Innovators Hive - March 29-30 Google Cloud Innovators Program OSPO Panel on Dockershim Deprecation - March 31st HostsBrian Dorsey and Kaslin Fields
Wed, 09 Feb 2022 - 34min - 475 - Redesigning the Cloud SDK and CLI with Wael Manasra and Cody Oss
This week on the podcast, Wael Manasra and Cody Oss join hosts Carter Morgan and Mark Mirchandani to chat about new branding in Cloud SDK and gcloud CLI. Google Cloud SDK was built and designed to take over mundane development tasks, allowing engineers to focus on specialized features and solutions. The SDK documentation and tutorials are an important part of this as well. With clear instructions, developers can easily make use of Cloud SDK.
Software Development Kits have evolved so much over the years that recently, Cody, Wael, and their teams have found it necessary to redefine and rethink SDKs. The popularity of cloud projects and distributed systems, for example, means changes to kit requirements. The update is meant to reevaluate the software included in SDKs and CLIs and to more accurately represent what the products offer. Giving developers the tools they need in the place they work means giving developers code language options, providing thorough instruction, and listening to feedback. These are the goals of this redesign.
The Google Cloud SDK contains downloadable parts and web publications. Our guests explain the types of software and documentation in each group and highlight the importance of documentation and supporting materials like tutorials. The Cloud Console is a great place for developers to start building solutions using the convenient point-and-click tools that are available. When these actions need to be repeated, the downloadable Command Line Interface tool can do the work. Cody talks about authentication and gcloud, including its relationship to client libraries. He walks us through the steps a typical developer might take when using Google products and how they relate to the SDK and CLI. Through examples, Wael helps us further understand client libraries and how they can interact with the CLI.
The Cloud SDK is a work in progress. Our guests welcome your feedback for future updates!
Wael ManasraWael manages the gcloud CLI, the client libraries for all GCP services, and the general Cloud SDK developer experience.
Cody OssCody works on the Go Cloud Client libraries where he strives to provide an delightful and idiomatic experience to all the Gophers on Google Cloud.
Cool things of the week Google Tau VMs deliver over 40% price-performance advantage to customers blog Find products faster with the new All products page blog Interview Cloud SDK site Cloud SDK Documentation docs Go site Google Cloud site Cloud Storage site Cloud Storage Documentation docs Cloud Code site Cloud Run site GKE site Cloud Functions site Cloud Client Libraries docs Cloud Shell site Cloud Shell Editor docs What’s something cool you’re working on?Carter is working on his comedy.
HostsCarter Morgan and Mark Mirchandani
Wed, 02 Feb 2022 - 44min - 474 - Resiliency at Shopify with Camilo Lopez and Tai Dickerson
Carter Morgan and Stephanie Wong host Shopify guests Camilo Lopez and Tai Dickerson this week. Shopify streamlines the online purchasing process so merchants and customers can transact with confidence.
Camilo and Tai talk in-depth about Shopify’s tech stack and why the choices made are so important to performance. Shopify engineers use a combination of Ruby on Rails, MySQL and Google products like Kubernetes. Resiliency systems like active-active configurations, chat ops for quick solutions, and bot and overload protection are worked in. By leveraging these tools and staying flexible in their resiliency efforts, Shopify is able to adjust to new merchant requirements and teams are able to work efficiently.
While tech continues to progress and change, the Shopify culture remains a driving force for advancement, Camilo tells us. The company ideals and axioms help steer the brand and dictate which technologies they’ll use to solve new and changing client demands. The 2014 outage shaped the future of these cultural ideals, emphasizing the need for quick action and resiliency components like constraints to ensure system safety. Shopify engineers also built enhanced testing tools like Toxiproxy to simulate poor network conditions and account for potential issues.
The 2021 Black Friday Cyber Monday shopping season was Shopify’s biggest yet. Camilo and Tai describe how Shopify’s resiliency culture and intense prep work made the biggest shopping weekend of the year so successful. By offering educational tools and a support network that values good communication, their company culture continues to grow, and Tai tells us how it’s not just the software that should be resilient. Building a resilient, flexible company culture is just as important.
Camilo talks about Shopify’s recent shift to a completely remote work place and the new challenges and opportunities it presents.
Camilo LopezCamilo has worked at Shopify for more than 10 years, he has been an IC and a manager leading teams that take care of Shopify’s scalability and resiliency.
Tai DickersonTai is a production engineer at Shopify, where she shares her passion for resilience engineering with others via paper discussions and as a leader in Shopify’s Resiliency SIG.
Cool things of the week Machine images is GA docs New Cloud Logging and Monitoring capabilities Monitoring third-party applications: MariaDB docs Monitoring third-party applications: MySQL docs Monitoring third-party applications: Memcached docs Starting with version 2.8.0, the Ops Agent supports Ubuntu 21.10. For more information, see Linux operating systems docs Interview Shopify site Kubernetes site GKE site Kafka site Redis site Elastic Search site Memcached docs Toxiproxy site Shopify Engineering site Shopify Careers site BFCM Twitter Thread site Shopify engineers deliver on peak performance during Black Friday Cyber Monday 2021 blog Cloud, Load, and Modular Code: What 2022 Looks Like for Shopify blog Terri Haber on Resiliency at Scale site Terri Haber on Enforced Pacing site Bart Jedrocha on Load Testing site Bart Jedrocha on Tooling for Load Testing site Bart Jedrocha on The Future of Load Testing site Ryan McIlmoyl on Code Red site Ryan McIlmoyl on Working with IMOC site Camilo Lopez on The 2014 Outage site Camilo Lopez on Holiday Season Learnings site Tai Dickerson on Doing Things Differently site Tai Dickerson on Learning & Community site What’s something cool you’re working on?Stephanie is working on season 2 of the Where the Internet Lives podcast.
Carter is working on season 2 of VM End to End.
HostsCarter Morgan and Stephanie Wong
Wed, 26 Jan 2022 - 39min - 473 - Cloud Security Megatrends with Phil Venables
We’re back for a new, exciting year of the Google Cloud Platform Podcast! Mark Mirchandani and Carter Morgan start 2022 with a jointly hosted interview with Anton Chuvakin and Timothy Peacock of the Cloud Security Podcast team. Our guest, Phil Venables, is here to tell us about the driving trends in cloud security today.
Phil starts the show with a discussion on the advances in cloud security in general and how it compares with on-prem security. Megatrends like economies of scale and competition between cloud providers benefit cloud users by allowing better security for less money. Cloud environments tend to be simpler and therefore easier to manage, and with scaling and geographic location options, cloud projects allow more flexibility to reach security and sustainability goals.
Phil talks about the iteration process of advances in security based on customer requirements and how this builds client trust. The Shared Responsibility Model, where the cloud provider runs a secure infrastructure and the customer configures their project securely in the cloud, is a great start, Phil tells us. But with Shared Fate, he sees the provider crossing the responsibility barrier to work together with the client towards a secure project through actions like analyzation of security defaults. Customer feedback helps Google Cloud make a better product, which in turn helps customers, creating an environment of reliability and shared trust.
We talk about how the Shared Fate model and shared incentives work together to create a closer partnership between cloud providers and customers, and Phil elaborates on the idea of project security as an immune system. We tackle the idea of security diversity and whether it benefits clients to expand their security outside of cloud provider offerings. Phil helps security novices understand valuable feature-add security services and what to look for in the future.
Phil VenablesPhil leads the risk, security, compliance, and privacy teams for Google Cloud. Prior to joining Google Cloud, Phil was a Partner at Goldman Sachs where he held multiple roles over a long career, initially as their first Chief Information Security Officer, a role he held for 17 years. Before Goldman Sachs, Phil held multiple CISO roles as well as senior engineering roles across a range of finance, energy and technology companies.
Cool things of the week 2022 Resolution: Learn Google Cloud, free of charge blog How to build a virtual employment center on Google Cloud & Workspace video Interview Cloud Security Podcast podcast IT Leaders: Pay Attention To These 8 Security Megatrends In 2022 article GCP Podcast Episode 218: Chronicle Security with Dr. Anton Chuvakin and Ansh Patniak podcast What’s something cool you’re working on?Mark and Carter are working on some cool new changes to the podcast.
HostsCarter Morgan, Mark Mirchandani, Anton Chuvakin and Timothy Peacock
Wed, 19 Jan 2022 - 32min - 472 - 2021 Year End Wrap Up
We’re finishing out 2021 with a celebration of our favorite episodes and topics from the year! From new tools for Cost Optimization in GKE and advances in AI to tips for improving feelings of imposter syndrome, Carter Morgan, Stephanie Wong, and Mark Mirchandani share memorable moments from 2021 and look forward to future episodes.
Carter MorganCarter Morgan is Developer Advocate for Google Cloud, where he creates and hosts content on Google’s Youtube channel, co-hosts several Google Cloud podcasts, and designs courses like the Udacity course “Scalable Microservices with Kubernetes” he co-created with Kelsey Hightower. Carter Morgan is an international standup comedian, who’s approach of creating unique moments with the audience in front of him has seen him perform all over the world, including in Paris, London, the Melbourne International Comedy Festival with Joe White. And in 2019, and the 2019 Edinburgh Fringe Festival. Previously, he was a programmer for the USAF and Microsoft.
Stephanie WongStephanie Wong is a Developer Advocate focusing on online content across all Google Cloud products. She’s a host of the GCP Podcast and the Where the Internet Lives podcast, along with many GCP Youtube video series. She is the winner of a 2021 Webby Award for her content about data centers. Previously she was a Customer Engineer at Google and at Oracle. Outside of her tech life she is a former pageant queen and hip hop dancer and has an unhealthy obsession with dogs.
Mark MirchandaniMark Mirchandani is a developer advocate for Google Cloud, occasional host of the Google Cloud Platform podcast, and helps create content for users.
Cool things of the week Anthos Multi-Cloud v2 is generally available docs Machine learning, Google Kubernetes Engine, and more: 10 free training offers to take advantage of before 2022 blog The past, present, and future of Kubernetes with Eric Brewer blog GCP Podcast Episode 124: VP of Infrastructure Eric Brewer podcast Our Favorite Episodes of 2021 Mark’s Favorites GCP Podcast Episode 252: GKE Cost Optimization with Kaslin Fields and Anthony Bushong podcast GCP Podcast Episode 267: Cloud Firestore for Users who are new to Firestore podcast GKE Essentials videos Beyond Your Bill vidoes Stephanie’s Favorites GCP Podcast Episode 270: Traditional vs. Service Networking with Ryan Przybyl podcast GCP Podcast Episode 271: The Future of Service Networking with Ryan Przybyl podcast GCP Podcast Episode 279: MLB with Perry Pierce and JoAnn Brereton podcast Carter’s Favorites GCP Podcast Episode 284: State of DevOps Report 2021 with Nathen Harvey and Dustin Smith podcast GCP Podcast Episode 287: Imposter Syndrome with Carter Morgan podcast Most Popular Episodes of 2021 GCP Podcast Episode Episode 264: SRE III with Steve McGhee and Yuri Grinshtey podcast GCP Podcast Episode 258: The Power of Serverless with Aparna Sinha and Philip Beevers podcast GCP Podcast Episode 253: Data Governance with Jessi Ashdown and Uri Gilad podcast GCP Podcast Episode 263: SAP + Apigee: The Power of APIs with Benjamin Schuler and Dave Feuer podcast GCP Podcast Episode 271: The Future of Service Networking with Ryan Przybyl podcast Sound Effects Attribution “Dun Dun Duuun” by Divenorth of Freesound.org “Cash Register” by Kiddpark of Freesound.org “Jingles and Pings” by BristolStories of HDInteractive.com “Time – Inception Theme” Composed by Hanz Zimmer (super-low-budget midi version) HostsStephanie Wong, Carter Morgan and Mark Mirchandani
Wed, 15 Dec 2021 - 43min - 471 - Imposter Syndrome in Tech with Carter Morgan
Carter Morgan takes the guest seat today to chat with host Stephanie Wong about imposter syndrome in tech. The technology ecosystem is constantly changing, with new advances every day. To keep up, tech workers are learning and developing new skills so frequently that at times it can feel as though they don’t actually know everything they need to know. Here is where self-doubt can really take hold.
Imposter syndrome is most prevalent around transition points, Carter tells us. A new job or new responsibility, for example, opens tech workers to feelings of inadequacy. But there’s hope, and he explains how we can learn and develop skills to overcome this difficulty. Through tales of his own experiences, Carter offers supportive tips he’s learned, including how important it is to communicate with your manager and seek help rather than isolating.
Unhealthy comparisons can foster self-doubt as well. Depth and breadth of knowledge are important factors to consider as well, and Carter points out that each has its benefits. Knowing when to go deep into a subject and when to obtain surface level knowledge can foster a sense of ease and adequacy in knowledge workers. Stephanie shares her experiences with imposter syndrome, highlighting the difference between self-perception and audience perception and why it’s important to give yourself credit for what you’ve accomplished. Breaking into a new space can be intimidating. Carter walks us through important steps to take to start tackling imposter syndrome from the beginning, including the effects of positive mentorships.
This month, Carter is giving a presentation at Cloud Learn (Dec 8-9, 2021), and he wraps up this episode with a sneak peak.
Carter MorganCarter Morgan is Developer Advocate for Google Cloud, where he creates and hosts content on Google’s Youtube channel, co-hosts several Google Cloud podcasts, and designs courses like the Udacity course “Scalable Microservices with Kubernetes” he co-created with Kelsey Hightower.
Carter Morgan is an international standup comedian, who’s approach of creating unique moments with the audience in front of him has seen him perform all over the world, including in Paris, London, the Melbourne International Comedy Festival with Joe White. And in 2019, and the 2019 Edinburgh Fringe Festival.
Previously, he was a programmer for the USAF and Microsoft.
Cool things of the week Cloud Learn site 5 things not to do with Cloud Functions, and 5 things you absolutely should do instead blog Interview Cloud Learn site What do I really need to know to succeed at work? blog HostsStephanie Wong
Wed, 08 Dec 2021 - 25min - 470 - Scotiabank with Yuri Litvinovich
This week on the podcast, Yuri Litvinovich of Scotiabank was able to join Mark Mirchandani and Michelle Casbon to talk about migration from on-prem and their partnership with Google Cloud. Mark Mandel stops in with some cool things of the week and the question of the week, too!
With Yuri’s help, Scotiabank is working to become a modern financial services technology company. Their transition from working mostly on-prem to working in the cloud was exciting for him as he discovered how much cheaper, faster, and more secure large enterprise projects can be in the public cloud. Three years ago, Scotiabank’s CEO began encouraging this shift to keep the company up-to-date, with funds allocated to moving all their thousands of applications and products to a more efficient system.
To accomplish this, Yuri turned to Kubernetes to make use of containers. Because they are light and homogenous in different environments, the modernization at Scotiabank went much more smoothly with Kubernetes and GKE. They also use a mix of managed systems like BigQuery, Dataflow, and Pub/Sub, as well as made-from-scratch applications that help the Google products to be compatible with Scotiabank’s existing software. Yuri believes this was a key to their success in the migration from on-prem to the cloud.
In the process of migration, Yuri experienced some pushback from developers who were concerned about the move. He encouraged them not to “lift and shift” their projects, but to completely re-build them with cloud dev ops principles in mind. Yuri’s goal was to convince developers that doing this would result in projects that were much easier, cheaper, and more secure in the long run. By outlining the benefits and goals of migration and sharing success stories of other businesses who have transferred to Kubernetes and the cloud, Scotiabank was able to help convince developers of the importance of it. Yuri also encourages trust and cooperation between teams.
Yuri LitvinovichYuri is a Senior Cloud Engineer and Kubernetes Tech Lead at Scotiabank. He’s currently part of Platform Organization (PLATO) within Scotiabank, which performs enterprise modernization program to transform the Bank into a modern technology company in financial services. Yuri has extensive experience in Cloud technologies, Kubernetes, DevOps, Site Reliability Engineering, Automation, CI/CD, Linux, networking, and system administration. His pursuit of excellence led him to work on implementing cutting-edge technologies in both startups, and large enterprise environments making them vital part of organization’s digital transformation journey.
Cool things of the week Introducing Deep Learning Containers: Consistent and portable environments blog How to implement document tagging with AutoML blog Analyze BigQuery data with Kaggle Kernels notebooks blog GCP Podcast Episode 84: Kaggle with Wendy Kan podcast Introducing the Jenkins GKE Plugin—deploy software to your Kubernetes clusters blog Interview Scotiabank site Kubernetes site Kubernetes Engine site Cloud SQL site BigQuery site Dataflow site Pub/Sub site Stackdriver site Anthos site GKE On-Prem site Istio site Autoscaling Streaming Applications in Cloud Dataflow with Scotiabank video Google Cloud Next ‘19: Day 2 Product Innovation Keynote video Kubeflow site Question of the weekWhere can you find us next?Mark Mirch is working on This Week in Cloud.
Mark Mandel is going to Tokyo Next, Open Source in Gaming Day , and the North American Open Source Summit.
Sound Effect Attribution “crowd laugh.wav” by tom_woysky of Freesound.orgWed, 10 Jul 2019 - 41min - 469 - Informatica with Bill Creekbaum
Happy Independence Day to our American listeners! Mark Mandel is back today as he and Gabi Ferrara interview Bill Creekbaum of Informatica to learn how they work with Google Cloud for a better big data user experience. Mark Mirchandani is hanging around the studio as well, bringing some cool things of the week and helping with the question of the week!
Informatica provides data managing products that offer complete solutions focusing on metadata management, integration, governance, security, data quality, and discoverability. Bill’s job at Informatica is to ensure these products really take advantage of the strengths of Google Cloud Platform. One such example is a product that allows customers to design in Informatica and push their projects to Cloud Dataproc. Informatica also offers similar capabilities in BigQuery. When moving data from on-prem to the cloud, customers can use Informatica and Google Cloud together for a seamless transition, cost savings, and easier data control.
Together, Informatica and Google Cloud can also facilitate the acquisition of high quality data. To have better, more trustworthy output, data inputed needs to be safe to access, have few or no duplicates and null values, and be complete. To achieve this, developers usually use a combination of the Informatica tools Intelligent Cloud Services, Enterprise Data Catalog, and Big Data Management, and the Google tools BigQuery, Cloud Storage, Analytics, Dataproc, and Pub/Sub.
Bill’s closing advice for companies comes in three parts: take stock of the data you’ve got, set goals, and develop a well-rounded team.
Bill CreekbaumBill Creekbaum is Sr. Director of Product Management for Cloud, Big Data, and Analytic Ecosystems at Informatica. He is focused on delivering market leading unified data management platforms and services that help customers take advantage of their greatest assets, data. Bill has been in product management and product marketing for more than 20 years and for the past 10 has been focused on successfully delivering SaaS and Cloud Applications to the market. Prior to joining Informatica, Bill has worked at SnapLogic, GoodData, Oracle, Microsoft, Mindjet, and more. See more of Bill’s experience on LinkedIn.
Cool things of the week Google Cloud + Chronicle: The security moonshot joins Google Cloud blog GCP Podcast Episode 135: VirusTotal with Emi Martinez podcast Introducing Equiano, a subsea cable from Portugal to South Africa blog Kubernetes 1.15: Extensibility and Continuous Improvement blog Future of CRDs: Structural Schemas blog See how your code actually executes with Stackdriver Profiler, now GA blog Interview Informatica site Informatica for GCP site BigQuery site Cloud Storage site Cloud Dataproc site Intelligent Cloud Services site Enterprise Data Catalog site Big Data Management site Google Analytics site Pub/Sub site Google Cloud & Informatica: Accelerate your Data-Driven Digital Transformation webinar Informatica for Google BigQuery data sheet Informatica Intelligent Cloud Services for Google BigQuery site Question of the weekWhere can you find us next?Gabi is done traveling.
Mark Mirch’ is working on Stack Chat.
Mark Mandel is going to Tokyo Next, Open Source in Gaming Day , and the North American Open Source Summit.
Sound Effect Attribution “small group laugh 6.flac” by tim.kahn of Freesound.org “Chewing, Carrot, A” by Inspector J of Freesound.org “Testtone1000hz” by Jobro of Freesound.orgWed, 03 Jul 2019 - 36min - 468 - Google Cloud Platform UX with Michael Kleinerman
On this episode, our hosts Mark Mirchandani and Gabi Ferrara dive into Google Cloud Platform UX with guest and Google Product Designer Michael Kleinerman. Michael’s path to Product Designer started with “ancient” tech designing with Flash and 3D motion graphics and progressed from there through interaction designer to his place now with Google. His experience has helped him appreciate the many different kinds of designers needed for projects and how they have to work together for a good product.
At Google, Michael’s team builds design systems that create a balance between what Google uses and what the products built on Google use. He adopted Material Design, which offers guidelines for patterns and components of design, to Google Cloud. Material Design spans across multiple devices and screen sizes to help simplify design across devices. When Cloud reached the enterprise space, where components can be more complex, Michael’s team worked to adjust Cloud using Material Design so that features like tables would work correctly.
Accessibility is also a top priority for Cloud and the design team. To begin the process of designing for accessibility, the team finds the top three or so reasons that a user would come to their product and ensures those are accessible to all. The next step is to create easier usability in the second tier features of the product, and then all features beyond. Using a screen reader, they go through the product to see if it’s usable, and really try to make the experience better. The team also makes sure there are a lot of guidance pages as well.
The goal in product design is to make things simple and consistent for everyone.
Michael KleinermanMichael is a Product Designer at Google. He worked on Android and YouTube in the Bay Area before joining Cloud in NYC, where he started by leading the UX for Firestore until it launched in both Firebase and GCP. This work evolved into his current role on the core platform team, responsible for the design direction of the main design system used by producer teams to build and launch products on GCP.
Cool things of the week Committed use discounts at a glance blog Networking in depth blog Chatbots with Dialog Flow blog and video Turn it up to eleven: Java 11 runtime comes to App Engine blog App Engine second generation runtimes now get double the memory; plus Go 1.12 and PHP 7.3 now generally available blog Interview Material.io site Material Design site Firebase site Cloud Firestore site Question of the weekHow do I work with my containers locally and then get them into the cloud?
Where can you find us next?Gabi is done traveling.
Mark Mirch’ is filming for customers in the Bay area.
Everyone else is just laying low for now!
Sound Effect Attribution “alert.wav” by danielnieto7 of Freesound.org “cell phone vibraion.wav” by MrAuralization of Freesound.org “laugh crowd 2.wav” by MrAuralizationFunWithSound of Freesound.orgWed, 26 Jun 2019 - 33min - 467 - Derwen, Inc. with Paco Nathan
This week, Jon Foust and Michelle Casbon bring you another fascinating interview from our time at Next! Michelle and special guest Amanda were able to catch up with Paco Nathan of Derwen AI to talk about his experience at Next and learn what Derwen is doing to advance AI.
Paco and Derwen have been working extensively on ways developer relations can be enhanced by machine learning. Along with O’Reilly Media, Derwen just completed three surveys, called ABC (AI, Big Data, and Cloud), to look at the adoption of AI and the cloud around the world. The particular interest in these studies is a comparison between countries who have been using AI, Big Data, and Cloud for years and countries who are just beginning to get involved. One of the most interesting things they learned is how much budget companies are allocating to machine learning projects. They also noticed that more and more large enterprises are moving, at least partially, to the cloud.
One of the challenges Paco noticed was the difference between machine learning projects in testing versus how they act once they go live. Here, developers come across bias, ethical, and safety issues. Good data governance polices can help minimize these problems. Developing good data governance policies is complex, especially with security issues, but it’s an important conversation to have. In the process of computing the survey data, Paco discovered many big companies spend a lot of time with this issue and even employ checklists of requirements before projects can be made live.
In his research, Paco also discovered that about 54% of companies are non-starters. Usually, their problems stem from tech debt and issues with company personnel who do not recognize the need for machine learning. The companies working toward integrating machine learning tend to have issues finding good staff. Berkeley is working to solve this problem by requiring data science classes of all students. But as Paco says, data science is a team sport that works well with a team of people from different disciplines. Paco is an advocate of mentoring, to help the next generation of data scientists learn and grow, and of unbundling corporate decision making to help advance AI.
Amanda, Michelle, and Paco wrap up their discussion with a look toward how to change ML biases. People tend to blame ML for bias outcomes, but models are subject to data we feed in. Humans have to make decisions to work around that by looking at things from a different perspective and taking steps to avoid as much bias as we can. ML and humans can work together to find these biases and help remove them.
Paco NathanPaco Nathan is the Managing Parter at Derwen. He has 35+ years tech industry experience, ranging from Bell Labs to early-stage start-ups. Paco is also the Co-chair Rev. Advisor for Amplify Partners, Recognai, Primer AI, and Data Spartan. He was formerly the Director of Community Evangelism for Databricks and Apache Spark.
Cool things of the week CERN recreated the Higgs discovery on GCP video To discover the Higgs yourself, check out the CERN open data portal site Fun facts from Michelle’s visit: Seven total, four main experiments ATLAS (largest, general-purpose) site CMS (prettiest, general-purpose) site ALICE (heavy-ion) site LHCb (interactions of b-hadrons, matter/antimatter asymmetry) site The French/Swiss border runs across the CERN property Streetview of CERN control center site CERN is the birthplace of the web Where the protons come from site Watch Particle Fever movie Interview Derwen, Inc. site Derwen, Inc. Blog blog Cloud Programming Simplified: A Berkeley View on Serverless Computing paper Apache Spark site Google Cloud Storage site Datastore site Kubeflow site Quicksilver site O’Reilly Media site Google Knowledge Graph site Jupyter site JupyterCon site The Economics of Artificial Intelligence site “Why Do Businesses Fail At Machine Learning?” by Cassie Kozyrkov video The Gutenberg Galaxy site Programmed Inequality site Question of the weekWhere can you find us next?Jon is in New York for Games for Change.
Michelle and Mark Mirchandani are back in San Francisco.
Brian & Aja are at home in Seattle.
Gabi is in Brazil.
Sound Effect Attribution “Crowd laugh.wav” by tom_woysky of Freesound.orgWed, 19 Jun 2019 - 42min - 466 - Google Maps Platform with Angela Yu
Your favorite Marks Mirchandani and Mandel are back hosting this week to touch base with Angela Yu about recent updates in Google Maps. As Angela describes Google Maps at a high level, it is your window into the real world, with coverage of Earth’s land and oceans. Google works hard to keep that information updated with satellite pictures, street view Google vehicles, and even backpacks for hikers to record hard to reach areas.
The Google Maps API makes it easy for developers to use Maps data in their own projects. It can be used for something as simple as showing location to something more complicated, for example showing the user specific things around them to help them make decisions. Game developers can create rich experiences by building real-world gaming situations with Maps and augmented reality. Using the Places API can display parks, government buildings, and other interesting places beyond streets. And the Routes API can expand the user experience by providing directions, tracking drivers in real time, etc. Maps and Google Cloud together work well with BigQuery to search huge amounts of data and visualize them on a map.
In the future, Angela is particularly excited about how ridesharing apps will continue to use Maps and Routes to optimize their businesses. She also looks forward to more augmented reality projects beyond gaming, where data, directions, and more are overlaid on the physical world.
Angela YuAngela Yu is a developer advocate for Google Maps Platform. Throughout her career, she has geeked out on voice recognition, mobile app development, and IoT. You can find her trapped in escape rooms or on Twitter.
Cool things of the week Google to acquire Looker blog New Translate API capabilities can help localization experts and global enterprises blog Google Cloud networking in depth: Cloud CDN blog Save money by stopping and starting Compute Engine instances on schedule blog An update on Sunday’s service disruption blog Interview Google Maps Platform site blog docs Google Maps Places site Google Maps Routes site Google Maps Treks site Visualizing data from Firebase on a Google Map site Google Maps Platform Codelabs site BigQuery site BigQuery Public Datasets docs Deck.GL site Google Maps SDK for Android Beta site Popular Antipodes on Google Maps site The True Size of countries site Google Maps on Github site Google Maps Client Libraries site StreetView Gallery site Earth Engine site xkcd: Map Projections site Beautiful data visualizations using deck.gl on Google Maps demo and docs Question of the weekWhat is helm, and how do I use it?
GCP Podcast Episode 50: Helm with Michelle Noorali and Matthew Butcher podcast
Kubernetes Podcast podcast and twitter Kuberenetes twitter Where can you find us next?Angela will be at the Chrome Dev Summit.
Mark Man will be at Tokyo Next.
Mark Mirch will be customer filming for Stack Chat in NYC.
Sound Effect Attribution “Striking a Match” by Nebulousflynn of Freesound.org “Bad Beep” by RICHERIandTV of Freesound.org “Correct” by Tristan_Lohengrin of Freesound.org “Spaceship Atmosphere 02” by RICHERIandTV of Freesound.org “At the jazz concert Crowd laugh.wav” by Ftom_woysky of Freesound.orgWed, 12 Jun 2019 - 37min - 465 - Firebase with Jen Person
Google Developer Advocate Jen Person talks with Mark Mandel and Mark Mirchandani today about developments in Firebase. Firebase is a suite of products that helps developers build apps. According to Jen, it’s equivalent to the client-side of Google Cloud. Firebase works across platforms, including Android, web, iOS and offers many growth features, setting it apart from other Google products. It helps site and app owners interact with and reach customers with services like notifications, remote configurations to optimize the app, testing, and more.
Cloud Firestore has come out of beta, and it is available both through Firebase and Google Cloud Platform, making it easy for developers to move from one to the other if their needs change.
Recently, the Firebase team has been working to refine their products based on user feedback. Firebase Authentication has been upgraded with the additions of phone authentication, email link authentication, and multiple email actions. They’ve also added a generic authentication option so developers can use any provider they choose.
ML Kit makes machine learning much easier for client apps or on the server. With on-device ML features, users can continue using the app without internet service. Things like face recognition can still be done quickly without a wifi connection. ML Kit is adding new features all the time, including smart reply and translation, image labeling , facial feature detection, etc.
Cloud Functions for Firebase is also out of beta. It includes new features like a crash-litics trigger that can notify you if your site or app crashes and scheduled functions. An emulator is new as well, so you can test without touching your live code.
Jen PersonJen is a Developer Advocate at Google. She worked with Firebase for 2.5 years prior to recently joining Google Cloud. She loves building iOS apps with Swift and planning the ideal data structures for various apps using Cloud Firestore. Jen is currently co-starring with JavaScript in a buddy cop comedy where the two don’t see eye to eye but are forced to work together, eventually forming a strong loving bond through a series of hilarious misadventures.
Cool things of the week Uploading images directly to Cloud Storage using Signed URL blog Build your own event-sourced system using Cloud Spanner blog Cloud Shell on the Cloud Console app site Google Cloud networking in depth: Cloud Load Balancing deconstructed blog Interview Firebase site Firestore site Cloud Storage site Firebase Authentication site ML Kit site TensorFlow Lite site Cloud Functions for Firebase site Cloud Functions Samples site I/O 2019 Talk: Zero to App video Guide - Cloud Firestore collection group queries docs Guide - Scheduled Cloud Functions docs YouTube - #AskFirebase Playlist videos Codelab - Recognize text, facial features, and objects in images with ML Kit for Firebase: iOS site Codelab - Train and deploy on-device image classification model with AutoML Vision in ML Kit site Codelab - Recognize text, facial features, and objects in images with ML Kit for Firebase: Android site Codelab - Identify objects in images using custom machine learning models with ML Kit for Firebase site Codelab - Detect objects in images with ML Kit for Firebase: Android site Previous episodes on Firebase: GCP Podcast Episode 13: Firebase with Sara Robinson and Vikrum Nijjar podcast GCP Podcast Episode 29: The New Firebase with Abe Haskins and Doug Stevenson podcast GCP Podcast Episode 78: Firebase at I/O 2017 with James Tamplin and Andrew Lee podcast GCP Podcast Episode 97: Cloud Firestore with Dan McGrath and Alex Dufetel podcast GCP Podcast Episode 99: Cloud Functions and Firebase Hosting with David East podcast Question of the weekHow do I save money on my GCP resources?
Where can you find us next?Mark Man will be at Tokyo Next! Watch him live code on Twitch.
Mark Mirch is going on vacation!
Wed, 05 Jun 2019 - 36min - 464 - Stackdriver with Rory Petty
Jon Foust is back this week, joining Mark Mirchandani for an in-depth look at Stackdriver with fellow Googler, Rory Petty. To start, Product Manager Rory explains that Stackdriver is a full observability solution for Google Cloud (as well as other clouds). We touch on how monitoring, logging, and APM tools allow developers and operators to fully understand how a website is performing. In addition to Monitoring and Logging, the suite of Stackdriver tools also includes Debugger, Trace, and Profiler to help users not only monitor their sites, but to solve problems that occur.
Stackdriver Monitoring and Logging support Google Cloud services out of the box. Users can use Monitoring to set up alerts, so if something goes awry, they are notified immediately and can address the problem. Alerts can also be custom designed to inform developers of things like number of checkouts on your e-commerce site, the amount of time between checkouts, and more. Stackdriver Monitoring allows blackbox monitoring, too, to make sure your service is healthy. The Monitoring dashboard makes it really easy to get started, with a resources section that has pre-made dashboards for developers to use. Developers don’t have to do a lot of configuration out of the box. However, if you need a more customized dashboard, that is also possible in Stackdriver Monitoring.
At Cloud Next earlier this year, Stackdriver announced Service Monitoring in alpha, which shows users a map of their microservices architecture. Public beta will hopefully be later this year. Stackdriver Sandbox, another recent project currently in the alpha stage, gives people an easy way to configure a test Stackdriver environment. This way, developers can play with Stackdriver tools without effecting their websites. Stackdriver Profiler, a great tool to understand the performance of your system, went GA at Cloud Next as well.
Stackdriver’s tools are all meant to work together to help you maintain and perfect development projects on many different cloud services and on-prem.
Rory PettyRory Petty is Product Manager for the Stackdriver Monitoring Platform. In his spare time, he enjoys cooking and is a vinyl record enthusiast. Rory is a midwest transplant living in Brooklyn.
Cool things of the week Commute just got easier with Google Pay and Google Assistant blog 5 year anniversary of Kubernetes and KubeCon content videos Kubernetes Podcast podcast Early Preview of AR in Google Maps video Interview Stackdriver site Stackdriver with Kubernetes video Stackdriver Monitoring site Stackdriver Logging site Stackdriver Debugger site Stackdriver Trace site Stackdriver Profiler site App Engine site Compute Engine site GKE site Site Reliability Engineering (SRE) Book site Istio site Stackdriver Service Monitoring site Stackdriver Sandbox site Cloud Next ‘19 DevOps & SRE Sessions videos Cloud On Air site Stack Doctor Playlist videos Implementing GCP Stackdriver and Adapting SRE Practices to Samsung’s AI System video Stackdriver Documentation site Question of the weekHow do I decide between Apps Script and App Maker?
Where can you find us next?Jon is going to Games for Change.
Mark is going to be in NYC right before Games for Change.
Sound Effect Attribution “Spaceship Fly-by, A” by InspectorJ of Freesound.org “Teleport” by Sergenious of Freesound.org “Moretube.wav” by NoiseCollector of Freesound.org “Mystery Peak2.wav” by FoolBoyMedia of Freesound.orgWed, 29 May 2019 - 40min - 463 - The Linux Foundation with Chris Aniszczyk
Today on the podcast, we’re speaking with Chris Aniszczyk about the Linux Foundation and the important work they do to further the advancement of technology through open source initiatives. Mark and Mark are your hosts this week, and they begin by speaking with Chris about what the Linux Foundation is and how it’s unique.
The Linux Foundation, while seeking to support open source projects, sets itself apart by also providing professional services such as marketing, technical writing, legal help, and running events. It acts as a parent foundation for smaller open source foundations like Cloud Native Computing Foundation, Node.js Foundation, and the Automotive Linux Foundation, which strives to bring open source to the automotive industry.
Though typically companies can be leery of working with competitors, The Linux Foundation has been successful bringing companies together to create useful software that benefits everyone. Collaboration can be easier when done through the foundation. Chris also actively reaches out to companies in industries that don’t typically engage in open source practices and encourages them to consider working together to make their industry better. Specifically, Chris works with companies within CNCF and the Open Container Initiative.
Chris AniszczykChris Aniszczyk is an open source executive and engineer with a passion for building a better world through open collaboration. He’s currently a VP at the Linux Foundation where he co-founded the Cloud Native Computing Foundation (CNCF) and currently serves as CTO. Furthermore, he’s a partner at Capital Factory where he focuses on mentoring, advising and investing in open source and infrastructure focused startups. Throughout his career he has worked at the intersection of open source, internet scale organizations and the enterprise; at Twitter he created their open source program/strategy and led their open source efforts to change the infrastructure industry. In a previous life, he bootstrapped an open source startup, was a Gentoo maintainer, made many mistakes, lead and hacked on many developer tooling and Linux related projects.
Cool things of the week Uber datasets in BigQuery: Driving times around SF (and your city too) blog Topping the tower: the Obstacle Tower Challenge AI Contest with Unity and Google Cloud blog Querying the Stars with BigQuery GIS blog GKE Sandbox: Bring defense in depth to your pods blog Google Cloud launches new Osaka region to support growing customer base in Japan blog Interview Linux Foundation site OpenJS Foundation site CNCF site Automotive Linux Foundation site Let’s Encrypt site How to start a project with the Linux Foundation site Community Bridge site Academy Software Foundation site Open Container Initiative site CNCF Cloud Native Definition site CNCF Annual Report site GraphQL site Linux Foundation Events site Question of the weekHow do I connect Cloud SQL to my serverless?
Where can you find us next?Mark Mirchandani will be working on more film projects.
Mark Mandel will be at Tokyo Next in July and will be at Open Source in Gaming the day before the Open Source North America Summit in August.
Wed, 22 May 2019 - 32min - 462 - Primer with John Bohannon
Michelle and Mark are together again this week to talk with John Bohannon about AI startup, Primer. His goal is to build systems that continuously read documents and write about what they discover. He discusses his recent work building a self-updating knowledge base and the research his team just published.
Perhaps most interesting is the circuitous path he took to get to Primer. Hear about his adventures along the way to becoming a data scientist specializing in natural language processing. How does a microbiologist who developed a pregnancy test for fish get distracted by Python? What does contemporary dance have to do with establishing AI policy? Join us as he weaves a common thread along his career path: encountering interesting problems and discovering creative ways to solve them.
John BohannonJohn Bohannon is the Director of Science at Primer, an AI startup in San Francisco. Until 2017 he was an investigative journalist and data scientist writing mainly for Science magazine and Wired. He spent the first half of his career as a foreign correspondent, including as a Fulbright scholar in Berlin. His reporting from Gaza won the Reuters-IUCN Media Award for Excellence in Environmental Reporting from Europe. While embedded with military forces in Afghanistan he engineered the first voluntary release of civilian casualty data by NATO and the United Nations. As a visiting scholar in the Program in Ethics and Health at Harvard University he focused on the involvement of doctors and social scientists in the US government’s torture program. He was also the scientific advisor to Isabella Rosselini for “Green Porno” (winner of 4 Webby awards) and “Animals Distract Me” (official selection, 2011 Sundance Film Festival). He is the author of a peer-reviewed study of people’s inability to distinguish pet food from paté, which inspired Stephen Colbert to eat cat food on television. He has a PhD in molecular biology from the University of Oxford.
Cool things of the week Braving the Wilderness: The Quest for True Belonging and the Courage to Stand Alone book Next ‘19 Recap video I/O ‘19 Recap video All I/O Sessions videos Michelle’s Favorites: Session: Taylor Wilson interviewing Michio Kaku on the future of humanity video Sandbox: AI on the Edge by Gabe Weiss, Noah Negrey, Yu-Han Liu, and Luiz Gustavo Martins TensorFlow Lite site OSS site Codelab: AI on a microcontroller with TFLite and SparkFun Edge site Interview Primer site Primer Blog blog Headline Generation: Learning from Decomposable Document Titles paper BERT site Ngram Viewer site Google Books site Dance Your PhD 2018 WINNER - Superconductivity: The Musical! video Kinetech Arts site John Bohannon’s Website site Question of the weekWhere can you find us next?Michelle will be at Kubecon Europe and CERN. Mark Mirchandani will be hanging around the bay area. Mark Mandel is in Tokyo. Gabi is in France. John is in NYC. Brian will be in Boulder, Colorado.
Wed, 15 May 2019 - 51min - 461 - Human-Centered AI with Di Dang
Mark Mirchandani and Michelle Casbon take over the show this week to discuss AI and the PAIR Guidebook to Human-Centered AI. Mark Mandel pops in on the interview, and Di Dang, Design Advocate at Google, talks about her role in designing and building the guidebook with the intent of helping others create quality AI projects.
Di describes human-centered AI as a practice of not only being conscious of the project being built, but also considering how this AI project will impact us as humans at the end of the day. We influence machine learning so much, both intentionally and unintentionally, and it’s our job to look at the project and results as a whole.
In the guidebook, topics like data bias in machine learning, what design patterns work, how to establish trust with the user, and more are addressed. Di explains that the guidebook is a work in progress that will develop with input from users and advances in technology.
Di DangDi Dang recently joined Google’s Design Relations team as a Design Advocate supporting emerging technologies such as augmented reality and machine learning. Previously, she worked as a Senior UX Designer and led the Emerging Tech group at Seattle-based digital agency POP, advising clients on how VR/AR, web/mobile, conversational UI, and machine learning could benefit their end users. With a degree in Philosophy and Religion, she considers herself an optimistic realist who is passionate about ethical design. You can find Di onstage doing improv or on Twitter @dqpdang.
Cool things of the week Bringing the best of open source to Google Cloud customers blog James Ward’s Cloud Run button site Michelle’s favorite codelabs from I/O TPU-speed data pipelines site Your first Keras model site Convolutional neural networks site Modern convnets, squeezenet, with Keras with TPUs site Interview People + AI Guidebook site PAIR site GCP Podcast Episode 114: Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell podcast Machine Learning Crash Course site Google Clips site Google Brain Team site Question of the week How do I get started with practical AI? Build an Appointment Scheduler Chatbot with Dialogflow Where can you find us next?Michelle will be at Google I/O and Kubecon Europe.
No I/O event in your area? You can host one!Wed, 08 May 2019 - 38min - 460 - MongoDB with Andrew Davidson
On the podcast today we have a fascinating interview from our time at Cloud Next ‘19! Mark and Jon went in-depth with Andrew Davidson about MongoDB to find out what they do and how they do it.
MongoDB is a document database that stores JSON natively, making it super easy for developers to work with data in a way that’s similar to how they think about building applications. The database is scalable, highly available by default with built-in replication, has an intuitive query language, and can be run anywhere.
MongoDB Atlas is a global database service that runs on Google Cloud; it automates deployment and provisioning, and ongoing operations such as maintenance, upgrades, and scaling with no downtime. Atlas is a declarative model to manage your databases easily, is easy to migrate to, and offers advanced features such as global clusters for low latency read and write access anywhere in the world.
In the future, Andrew sees a world where we think in terms of JSON-style documents instead of just tables. MongoDB can help make that happen.
Andrew DavidsonAndrew Davidson, a Silicon Valley native who lives in NYC, is the Director of Cloud Products at MongoDB with a focus on MongoDB Atlas, MongoDB’s global database as a service. He previously worked on scaling global mapping operations at Google, has a background in physics, and has lived extensively in South Asia.
Cool things of the week Level up on Android with Indie Games Accelerator blog Berglas site American Cancer Society uses Google Cloud machine learning to power cancer research blog Efficiently scale ML and other compute workloads on NVIDIA’s T4 GPU, now generally available blog GCP Podcast Episode 168: NVIDIA T4 with Ian Buck and Kari Briski podcast After school, this teen tracks climate change with NASA blog Interview MongoDB site MongoDB Atlas site JSON site Virtual Private Cloud (VPC) site Kubernetes site MongoDB Charts site MondgoDB Stitch site MongoDB University site MongoDB.local site MongoDB World site Question of the weekHow can I access Google Cloud Shell from any terminal?
Introducing the ability to connect to Cloud Shell from any terminal blog gcloud alpha cloud-shell ssh site gcloud alpha cloud-shell scp site gcloud alpha cloud-shell get-mount-command site Where can you find us next?Jon and Mark will be at IO.
Wed, 01 May 2019 - 31min - 459 - Professional Services with Ann Wallace and Michael Wallman
Ann Wallace and Michael Wallman are here today to teach Aja and Mark about Professional Services Organization (PSO) at Google Cloud. PSO is the “post sales” department, helping clients come up with solutions for security, data migration, AI, ML, and more. Listen in to this episode to learn more about the specifics of the PSO!
Ann WallaceAnn Wallace is the Global Security Practice Lead for Google PSO. She has spent the last 6 months building out the security practice. Ann is passionate about inclusion in tech. She is the West regional lead for Google Cloud EDII and a volunteer with Women Who Code Portland. Before Google Ann spent 14 years at Nike in various engineering and architecture roles. CloudNOW named her one of the top 10 Women in Cloud in 2015. When not working, Ann can be found ultra-trail running around the world.
Michael WallmanMichael Wallman is a TPM, working on Cloud Migration for internal Alphabet companies and acquisitions. He also serves as the America’s infrastructure practice lead. He is in his 3rd year at Google. Prior to Google, Michael is Cloud “OG”, and spent almost 5 years growing the AWS Professional Services organization from 5 to 700+. Before sticking his head in the clouds, Michael helped found 2 start-ups: Aspera and SensysNetworks. Outside of work Michael spends his time chasing his 2 toddlers and mountain lions around the Berkeley Hills.
Ann and Michael actually met 5 years ago, working on Nike’s first cloud migration project. This encompassed reverse engineering a custom Perl configuration management system. (Who doesn’t love Perl?) It’s a small cloud world.
Cool things of the week Amy built an app that uses Cloud Vision to identify key features of images texted to it link Want to Change the Game? Design your own with Google Play blog Change the Game site The team based game of life app we demoed during the keynote is still up site How we search for bow wows and meows blog Why do cats and dogs…? site Interview G Suite site Chrome site GKE site Kubernetes site Anthos (the new Cloud Services Platform) site Pub/Sub site GCS site GCS Dual-Region Buckets site Grafeas site CRDS site Exploring container security: Digging into Grafeas container image metadata blog CRE site SRE site Cloud Consulting Services site Question of the weekHow do I cache files between builds in Cloud Build?
Cloud Builders Community site Where can you find us next?Mark will be at IO, Open Source in Gaming Day which is co-located with Open Source North America Summit, and CFP.
Aja will be online! She has blog posts coming on assessing coding during interviews, using Ruby + GCP for weird stuff, and many other things.
Our guests will be at Kubecon EU.
Wed, 24 Apr 2019 - 32min - 458 - Cloud Run with Steren Giannini and Ryan Gregg
Mark Mirchandani is our Mark this week, joining new host Michelle Casbon in a recap of their favorite things at Next! The main story this episode is Cloud Run, and Gabi and Mark met up with Steren Giannini and Ryan Gregg at Cloud Next to learn more about it.
Announced at Next, Cloud Run brings serverless to containers! It offers great options and security, and the client only pays for what they use. With containers, developers can use any language, any library, any software, anything!
Two versions of Cloud Run were released last week. Cloud Run is the fully managed, hosted service for running serverless containers. The second version, Cloud Run GKE, provides a lot of the same benefits, but runs the compute inside your Kubernetes container. It’s easy to move between the two if your needs change as well.
Steren GianniniSteren is a Product Manager in the Google Cloud Platform serverless team. He graduated from École Centrale Lyon, France and then was CTO of a startup that created mobile and multi-device solutions. After joining Google, Steren managed Stackdriver Error Reporting, Node.js on App Engine, and Cloud Run.
Ryan GreggRyan is a product manager at Google, working on Knative and Cloud Run. He has over 15 years experience working with developers on building and extending platforms and is passionate about great documentation and reducing developer toil. After more than a decade of working on enterprise software platforms and cloud solutions at Microsoft, he joined Google to work on Knative and building great new experiences for serverless and Kubernetes.
Cool things of the week News to build on: 122+ announcements from Google Cloud Next ‘19 blog Mark’s Favorite Announcement: Network service tiers site Michelle’s Favorite Announcements: Cloud Code site Cloud SQL for Postgres now supports v11 release notes Cloud Data Fusion for visual code-free ETL pipelines site Cloud AI Platform site AutoML Natural Language site Google Voice for G Suite blog Hangouts Chat in Gmail site Kubeflow v0.5.0 release site Interview Cloud Run site Knative site Knative Docs site Firestore site App Engine site Cloud Functions site GKE site Cloud Run on GKE site Understanding cluster resource usage site Docker site Cloud Build site Gitlab site Buildpacks site Jib (Java Image Builder) site Pub/Sub site Cloud VPC site Google Cloud Next ‘19 All Sessions videos Question of the weekIf I want to try out Cloud Run, how do I get started?
Get started with the beta version by logging in site Quicklinks site Codelab site Where can you find us next?Gabi is at PyTexas
Jon and Mark Mandel are at East Coast Game Conference
Michelle & Mark Mirchandani will be at Google IO in May
Michelle will be at Kubecon Barcelona in May
Wed, 17 Apr 2019 - 32min - 457 - Next 2019 Day 3
Welcome to day three of Next! More awesome interviews await in this episode, as hosts Mark Mirchandani, Aja Hammerly, Mark Mandel, Jon Foust and their guests explore more of Next.
To start, Dan of Viacom joins Mark and Jon to talk about his job in the TV business and why he loves Istio.
Host-turned-guest Aja and Lauren of the Developer Relations team sat in the booth to talk with the Marks about the developer keynote at Next. Aja and Lauren elaborate on how they work to promote Next and put together content inclusive of all aspects of Google Cloud.
Mark and Mark hear how Yuri from Scotiabank is using Kubernetes to help advance Scotiabank’s latest projects. Anthony from Google joins the conversation, too.
And lastly, we tease you with a short interview with Andrew of MongoDB to speak more on the partnership between MongoDB Atlas and Google Cloud. Andrew will be joining us for a full interview on the podcast later this year!
Interviews Cloud Next site Next On Air site Google Cloud Next ‘19: Day 3 Run Channel video Google Cloud Next ‘19: Day 3 Build Channel video Google Cloud Next ‘19: Day 3 Collaborate Channel video Day 3 at Next ‘19: A look back at an amazing week blog Playlist: All Sessions - Google Cloud Next ‘19 videos Viacom site How Viacom modernized its Intelligent Content Discovery Platform with Google Cloud blog GKE site Anthos site Istio site Developer Keynote: Get to the Fun Part (Cloud Next ‘19) video Jenkins site Slack site Cloud Run site Announcing Cloud Run, the newest member of our serverless compute stack blog GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao podcast Dev Zone Walkthrough (Cloud Next ‘19) video Dev Zone Experiment Pizza Authenticator (Cloud Next ‘19) video Scotiabank site Kubernetes site Google Cloud Next ‘19: Day 2 Product Innovation Keynote (Justin Arbuckle at 25:23) video Securing Kubernetes Secrets (Cloud Next ‘19) video MongoDB site MongoDB Atlas site Where can you find us next?The GCP Podcast will be back to its regular schedule next week!
Fri, 12 Apr 2019 - 20min - 456 - Next 2019 Day 2
The podcast celebrates day two of Next as our hosts speak with some more conference attendees. Andre came by to talk with Aja and Jon about his work with Stackdriver IRM and their mission for fewer, shorter, and smaller outages.
We had three hosts in the booth with guest, Anne, who works for the GCP Trust and Security Product Team. Brian, Mark, and Aja find out exactly what Anne does at GCP and how she’s enjoying Next!
Brian and Mark also met up with Mario who came all the way from Munich, Germany. Mario runs the Cloud Community in his hometown, and he shared his thoughts on Anthos and what he’s excited about at Next.
Last but not least, Valentin stopped by to talk with Mark and Jon about Go and the presentation he’s giving at Next on site performance.
Interviews Cloud Next site Next On Air site Google Cloud Next ‘19: Day 2 Run Channel video Google Cloud Next ‘19: Day 2 Build Channel video Stackdriver site Stackdriver Incident Response and Management site Stackdriver Incident Response and Management documentation docs Data Management: The New Best Practice for Incident Response (Cloud Next ‘19) video Stackdriver Profiler site GKE site Increasing trust in Google Cloud: visibility, control and automation blog GKE Sandbox site gVisor site Hybrid Cloud Sessions - Google Cloud Next ‘19 videos Google Cloud Next ‘19: Day 1 Secure Channel video Google Cloud Next ‘19: Day 2 Secure Channel video Anthos site Meet Anthos! (Cloud Next ‘19) video Introducing Anthos: An entirely new platform for managing applications in today’s multi-cloud world blog Cloud SQL site Making Google Cloud the best place to run your Microsoft Windows applications blog How to Migrate Windows Workloads to Google Cloud (Cloud Next ‘19) video Qwiklabs site Dev.to site Go site Go Tools site Cloud Run site Announcing Cloud Run, the newest member of our serverless compute stack blog Where can you find us next?We’re at Next this week! Stop by and say hi!
Thu, 11 Apr 2019 - 19min - 455 - Next 2019 Day 1
We’re at Cloud Next this week with special guests, special hosts, and more! On day one, Gabi and new host Mark Mirchandani were able to speak with Jonathan Cham, Customer Engineer at Google Cloud, about his experiences with Google Next. Ori of the Cloud SQL team shared exciting news about Cloud SQL Server.
Later, Aja was joined by co-host Brian Dorsey who elaborated on his Next talk, as well as his favorite things at Next. They were able to get a quick interview with Matt and Nate about Skuid and what they’re looking forward to at Cloud Next. Jose and Bryan of Onix stopped by as well to talk about their company and their experiences in comedy!
Interviews Cloud Next site Next On Air site Google Cloud Next ‘19: Day 1 Run Channel video Cloud Next Opening Keynote video Anthos site Cloud SQL site SQL Server on Google Cloud site Skuid site Firebase site Cloud SQL for PostgreSQL site Google Compute Engine site Onix site Cloud Search site OnSpend site GSuite site Onix Outreach site Where can you find us next?We’re at Next this week! Stop by and say hi!
Wed, 10 Apr 2019 - 31min - 454 - StackRox with Connor Gilbert
Gabi is back with Mark this week in an interview with Connor Gilbert of StackRox, a Kubernetes security company. StackRox uses Kubernetes and containers to maximize security for customers across the container lifecycle. Connor explains how they monitor your containers through building, deploying, and finally the running of the application, and keep your project secure through all stages. StackRox identifies risks and weak areas, then responds in real time.
Connor’s advice for our listeners is to understand what’s going on with your containers and your application. Look at the data, the specs, and your options and then, if-needed, adjust the defaults to optimize the security of your app.
Connor GilbertConnor Gilbert is a product manager at StackRox, a Kubernetes security company, where he contributes to product vision and advocates for customer needs. Connor previously worked in architecture and engineering roles at StackRox. Before that, as Security Research Scientist at Qadium, he built tools to uncover network perimeter exposures and conducted DARPA Internet security research. He first discovered Kubernetes in 2015 and has been using it on GCP ever since.
Cool things of the week Simplify reporting with the Sheets data connector for BigQuery, and voila: automated content updates for G Suite blog 6 standout serverless sessions at Google Cloud Next ‘19 blog 9 mustn’t-miss machine learning sessions at Next ‘19 blog Don’t miss these must-see G Suite sessions at Google Cloud Next ‘19 blog Next On Air live show Interview StackRox site StackRox Overview site StackRox Data Sheet data sheet Kubernetes site GKE site Google Container Registry site Google Cloud Security Command Center site Go site Istio site Kubernetes Documentation site Kubernetes Blog blog Kubernetes Blog: A Guide to Kubernetes Admission Controllers blog CNCF site CNCF Webinar: Operationalizing Kubernetes Security Best Practices video BSidesSF 2019 Talk: “Containers: Your Ally in Improving Security” video Nine Kubernetes Security Best Practices Everyone Should Follow site Top 5 Kubernetes RBAC Mistakes to Avoid white paper Question of the weekHow do I migrate my traditional data warehouse platform to BigQuery?
Migrating your traditional data warehouse platform to BigQuery: announcing the data warehouse migration offer Warehouse Migration Where can you find us next?Mark will be at Cloud NEXT, ECGC, and IO.
Gabi will be at Cloud NEXT and PyTexas
StackRox will be at Cloud NEXT, KubeCon, FS-ISAC, DockerCon, Red Hat Summit, and Black Hat.
Wed, 03 Apr 2019 - 27min - 453 - NVIDIA T4 with Ian Buck and Kari Briski
Today on the podcast, we speak with Ian Buck and Kari Briski of NVIDIA about new updates and achievements in deep learning. Ian begins by telling hosts Jon and Mark about his first project at NVIDIA, CUDA, and how it has helped expand and pave the way for future projects in super computing, AI, and gaming. CUDA is used extensively in computer vision, speech and audio applications, and machine comprehension, Kari elaborates.
NVIDIA recently announced their new Tensor Cores, which maximize their GPUs and make it easier for users to achieve peak performance. Working with the Tensor Cores, TensorFlow AMP is an acceleration into the TensorFlow Framework. It automatically makes the right choices for neural networks and maximizes performance, while still maintaining accuracy, with only a two line change in Tensor Flow script.
Just last year, NVIDIA announced their T4 GPU with Google Cloud Platform. This product is designed for inferences, the other side of AI. Because AI is becoming so advanced, complicated, and fast, the GPUs on the inference side have to be able to handle the workload and produce inferences just as quickly. T4 and Google Cloud accomplish this together. Along with T4, NVIDIA has introduced TensorRT, a software framework for AI inference that’s integrated into TensorFlow.
Ian BuckIan Buck is general manager and vice president of Accelerated Computing at NVIDIA. He is responsible for the company’s worldwide datacenter business, including server GPUs and the enabling NVIDIA computing software for AI and HPC used by millions of developers, researchers and scientists. Buck joined NVIDIA in 2004 after completing his PhD in computer science from Stanford University, where he was development lead for Brook, the forerunner to generalized computing on GPUs. He is also the creator of CUDA, which has become the world’s leading platform for accelerated parallel computing. Buck has testified before the U.S. Congress on artificial intelligence and has advised the White House on the topic. Buck also received a BSE degree in computer science from Princeton University.
Kari BriskiKari Briski is a Senior Director of Accelerated Computing Software Product Management at NVIDIA. Her talents and interests include Deep Learning, Accelerated Computing, Design Thinking, and supporting women in technology. Kari is also a huge Steelers fan.
Cool things of the week Kubernetes 1.14: Production-level support for Windows Nodes, Kubectl Updates, Persistent Local Volumes GA blog Stadia blog How Google Cloud helped Multiplay power a record-breaking Apex Legends launch blog Massive Entertainment hosts Tom Clancy’s The Division 2 on Google Cloud Platform blog Interview NVIDIA site NVIDIA Catalog site CUDA site Tensor Cores site TensorFlow sote Automatic Mixed Precision for Deep Learning site Automatic Mixed Precision for NVIDIA Tensor Core Architecture in TensorFlow blog TensorFlow 2.0 on NVIDIA GPU video NVIDIA Volta site NVIDIA T4 site WaveNet blog BERT blog Compute Engine site T4 on GCP site Webinar On Demand: Accelerate Your AI Models with Automatic Mixed-Precision Training in PyTorch site PyTorch site NVIDIA TensorRT site TensorRT 5.1 site Kubernetes site Rapids site NVIDIA GTC site Deep Learning Institute site KubeFlow Pipeline Docs site KubeFlow Pipelines on GitHub site NVIDIA RTX site Question of the weekWhere can we learn more about Stadia?
general info developer access Where can you find us next?Mark will be at Cloud NEXT, ECGC, and IO.
Jon may be going to Unite Shanghai and will definitely be at Cloud NEXT, ECGC, and IO.
NVIDIA will be at Cloud NEXT and KubeCon, as well as International Conference on Machine Learning, The International Conference on Learning Representations, and CVPR
Wed, 27 Mar 2019 - 35min - 452 - World Pi Day with Emma Haruka Iwao
World Pi Day is behind us, but our guest today, Emma Iwao, joins hosts Gabi and Mark to teach us all about pi. Pi is the constant of the ratio of a circle’s circumference to its diameter. Anytime you see a circle on a computer, pi has been used. It’s vital for everything from gaming to calculating rocket trajectories!
Emma crushed the world record for calculating digits of pi using Google Cloud over four months! Listen in to hear more about how she did it!
Emma Haruka IwaoEmma is a developer advocate for Google Cloud Platform, focusing on application developers’ experience and high performance computing. She has been a C++ developer for 15 years and worked on embedded systems and the Chromium Project. Emma is passionate about learning and explaining the most fundamental technologies such as operating systems, distributed systems, and internet protocols. Besides software engineering, she likes games, traveling, and eating delicious food.
Cool things of the week The Next OnAir site is live today and provides many of the details viewers could be looking for ahead of the event site Get Google Cloud Certified at Next ‘19: What you need to know blog Game Playing on Google Maps (see more at GDC) blog Your mission, gumshoe: Catch Carmen San Diego in Google Earth blog Interview Y-cruncher site Join the pi-31415926535897 Google Group group Fetching pi digits site Pi digit snapshots site Question of the weekHow do I track what is happening to my containers? Who has access to them, changes, etc?
Where can you find us next?Mark will be at GDC, Cloud NEXT, ECGC, and IO.
Gabi will be at Cloud NEXT, PyTexas 2019, and she will be conducting a Cloud on Air Webinar on Migrating to Cloud SQL
Wed, 20 Mar 2019 - 26min - 451 - SAP HANA with Lucia Subatin and Kevin Nelson
Jon Foust is back with Mark this week as we talk about SAP HANA, a data and application platform. Lucia Subatin and Kevin Nelson elaborate, explaining that SAP HANA is engineered for running SAP business applications. It is capable of handling large transactions very quickly and with great flexibility. With HANA, you don’t move data around, so you can run transaction workloads, as well as analytics, etc. in the same platform.
By teaming up with GCP, SAP HANA ensures that their enterprise users will have scalability and storage no matter how their businesses grow. GCP and SAP HANA developers have been working together to continue to make the products better.
Lucia SubatinLucia, Developer Advocate for SAP, is a proud geek. Her mission is to bring developers closer to SAP HANA and optimal enterprise solutions. Her contribution towards the community is based on enabling content and facilitating adoption by exploring and sharing more and better ways to capitalize the power of the platform.
Kevin NelsonKevin is a Google Cloud Developer Advocate focused on enterprise strategic partners. In his free time, Kevin is an avid sailor, brewer, and history buff who loves stargazing and studying the Age of Exploration.
Cool things of the week Take your mobile games business to the next level with Google AdMob and Google Ads at GDC blog Gaming developer hub site Go global with Cloud Bigtable blog Announcing Knative v0.4 Release article Build with Classroom G Suite blog Interview SAP site SAP HANA site SAP S/4HANA site SAP C/4HANA site BigQuery site Cloud Foundry site SAP HANA Express site Compute Engine site GCP Marketplace site Kubernetes site Ubuntu site Elephants, Rhinos, and People site Request an SAP CodeJam site Information for Developers site SAP TechEd site Question of the weekIf I want to programmatically search for links to an image that I have, how can I do that?
Web detection tutorial Detecting Web Entities and Pages Where can you find us next?Mark will be at GDC, Cloud NEXT, and ECGC in April.
Jon will be at GDC, Cloud NEXT, ECGC, and Vector Conf 2019.
Our guests will be at SAP CodeJam Venice, CA March 7, 2019, SAP CodeJam Mannheim, Germany March 18, 2019 and at Cloud NEXT.
Wed, 13 Mar 2019 - 30min - 450 - Python with Dustin Ingram
Mark and Brian Dorsey spend today talking Python with Dustin Ingram. Python is an interpreted, dynamically typed language, which encourages very readable code. Python is popular for web applications, data science, and much more! Python works great on Google Cloud, especially with App Engine, Compute Engine, and Cloud Functions. To learn more about best (and worst) use cases, listen in!
Dustin IngramDustin Ingram is a Developer Advocate at Google, focused on supporting the Python community on Google Cloud. He’s also a member of the Python Packaging Authority, maintainer of PyPI, and organizer for the PyTexas conference.
Cool things of the week Machine learning can boost the value of wind energy blog Compute Engine Guest Attributes site Colopl open sourced a Cloud Spanner driver for Laravel framework site Running Redis on GCP: four deployment scenarios blog Interview GCP Podcast Episode 3: Kubernetes and Google Container Engine podcast Python site Extending Python with C or C++ docs PyPy site PyPI site App Engine site Compute Engine site Cloud Functions site Ubuntu site Flask site Flask documentation docs Docker site Python documentation docs PyCon site PyCaribbean site Question of the weekHow can I manipulate images with Cloud Functions?
Where can you find us next?Mark will be at GDC, Cloud NEXT, and ECGC in April.
Dustin will be at Cloud Next and PyCon.
Brian will be lecturing at Cloud Next: ‘Where should I run my code?’
Wed, 06 Mar 2019 - 28min - 449 - Node.js with Myles Borins
Node.js is our topic this week as Mark and first-time host, Jon Foust, pick the brain of Myles Borins. Myles updates us on all the new things happening with Node.js, including the new .dev site that holds a ton of documentation to help people get started. Node.js now integrates with Cloud Build, the Node.js foundation has some new developments, and Google App Engine supports Node.js. The group has also been working on serverless containers.
Myles BorinsMyles Borins is a developer, musician, artist, and maker. They work for Google as a developer advocate serving the Node.js ecosystem. Myles cares about the open web and healthy communities.
Cool things of the week Google Cloud Next ‘19 session guide now available blog Introducing scheduled snapshots for Compute Engine persistent disk blog Reliable task scheduling on Compute Engine with Cloud Scheduler site How to make a self-destructing VM on Google Cloud Platform article Making AI-powered speech more accessible—now with more options, lower prices, and new languages and voices blog Interview GCP Podcast Episode 105: Node.js with Myles Borins podcast Node.js site Introduction to Node.js site Nodejs.dev on Github site Cloud Build site Firebase site Node.js Foundation site JS Foundation site Linux Foundation site Foundation Bootstrap Team on Github site App Engine site G Suite site Apps Script site BigQuery site JSON site The hilarious misadventures of being a platform downstream from your language video Node.js Versions - How Do They Work? video Open Source Leadership Summit site Black Girls Code site Scripted site Girls Who Code site Question of the weekHow do I get google cloud APIs to work within Unity?
Add packages from NuGet to a Unity project and read more in the Unity docs here
Where can you find us next?Mark will be at GDC in March, Cloud NEXT, and ECG in April.
Jon will be at GDC, Cloud NEXT, ECG, and Vector 2019.
Wed, 27 Feb 2019 - 35min - 448 - Cloud SQL with Amy Krishnamohan
We’re learning all about Cloud SQL this week with our guest, Amy Krishnamohan. Amy’s main job is to teach customers about the products she represents. Today, she explains to Mark and Gabi that Cloud SQL manages services for open source databases, and she spends a little time elaborating on the other database management services Google has to offer.
Cloud SQL is a relational data storage solution. Relational data storage is very structured, almost like a table or spreadsheet, making it easier to analyze the data. Cloud SQL is capable of scaling out and up, meaning it can scale for traffic patterns and for storage. In comparison, NoSQL databases are very unstructured. If you’re not sure what kind of data is coming in, you can sort the data first and analyze it later. Each approach has its pros and cons and each is suitable for different types of projects.
Recently, Cloud SQL released a feature making it easy to move from on-prem to the cloud. In the future, they will continue to streamline the process of moving between the two spaces.
Amy KrishnamohanAmy is Product Marketing Manager at Google Cloud responsible for Databases. She has diverse experience across product marketing, marketing strategy and product management from leading enterprise software companies such as MariaDB, Teradata, SAP, Accenture, Cisco and Intuit. Amy received her Masters in Software Management from Carnegie Mellon University.
Cool things of the week Process Workflows with the new Google Docs API blog Jib 1.0.0 is GA—building Java Docker images has never been easier blog GCP Podcast Episode 151: Java & Jib with Patrick Flynn and Mike Eltsufin podcast A guided tour in Google Earth that explores Black history blog Author: Gabe Weiss - Publishing series: Cloud IoT step-by-step Cloud IoT step-by-step: Connecting Raspberry PI + Python site Cloud IoT step-by-step: Cloud to device communication site Cloud IoT step-by-step: Quality of life tip - The command line site Interview Cloud SQL site Cloud SQL Features site MySQL site PostgreSQLsite Cloud MemoryStore site Cloud Bigtable site Cloud Firestore site Cloud Spanner site GCP Podcast Episode 62: Cloud Spanner with Deepti Srivastava podcast Mongo site Getting to know Google Cloud SQL video Question of the weekWhat is a virtual column in a database?
Generated columns blog and docs Where can you find us next?Amy will be at the Postgres Conference in New York on March 19.
Gabi will be at PHP UK in London and Cloud NEXT in April.
Mark will be at GDC in March, Cloud NEXT, and ECG in April.
Diamond Partner Q&A: Google’s Mark Mandel Has The Tools To Help You Make Great Games articleWed, 20 Feb 2019 - 26min - 447 - Voicea with Mohamed El-Geish
Today, Mohamed El-Geish joins us to talk about the voice AI technology powering Voicea. Gabi is back on the host bench with Mark as we learn how Voicea can improve productivity. EVA, the voice assistant, will record important information for you so you can focus on your meeting and will create tasks lists to help you stay organized. Voicea integrates well with multiple platforms to help accomplish your goals as well. You can send messages to Slack, add tasks to your Basecamp list, and more.
Mohamed explains the process of building Voicea and how machine learning techniques and user feedback have helped make it such a useful tool. Now, Voicea is working to incorporate video, allowing users to play back things like important meeting slides.
Mohamed El-GeishMohamed El-Geish is the Chief Architect and co-founder at Voicea (formerly Voicera), a voice AI technology company based in Menlo Park, Calif. Voicea leverages AI technology to harness voice in the workplace to increase productivity through EVA, Voicea’s Enterprise Voice Assistant. EVA listens, takes notes, and automatically provides highlights, actions, and recaps so your meetings can be activated. Voicea can turn talk into action from any conversation with in-person chats, meetings, conference calls, or video conferences.
Cool things of the week Query without a credit card: introducing BigQuery sandbox blog Exploring container security: Encrypting Kubernetes secrets with Cloud KMS blog Golden State Warriors power data analytics and fan experiences with Google Cloud blog Seven steps to making DevOps a reality blog GCP Podcast Episode 158: VP of Engineering - Melody Meckfessel podcast The Telegraph UK: Reimagining media with the help of Google Cloud blog Interview Voicea site Voicea Integrations site Kubernetes site GKE site Stackdriver site Docker site Voicea on LinkedIn site Mohamed El-Geish site Question of the weekWhere can you find us next?Mark will be at GDC in March, Cloud NEXT, and ECG in April.
Gabi will be at the Museum of Natural History for their Brown Scholars program giving a workshop on ML APIs and Cloud Functions. She’ll also be at Cloud NEXT.
Wed, 13 Feb 2019 - 32min - 446 - Go Cloud Functions with Stewart Reichling and Tyler Bui-Palsulich
First-time host, Aja, joins Mark today to talk Go Cloud Functions with two Google colleagues! Stewart, lead Product Manager on Google Cloud Functions, and Tyler, Developer Programs Engineer at Google, start the show by explaining the purpose of Cloud Functions. It is a serverless compute product that supports many programming languages, scales automatically, and only charges for what you use. It works best as event-driven computing, in other words, when something happens, you want something else to happen in response. Cloud Functions also works well between clouds or even Google Cloud services, acting as the glue between them.
Go Cloud Functions works specifically for Go. Google makes a huge effort to make Cloud Functions easy to use for all developers, so that no matter what language you’re familiar with, Cloud Functions works for you.
Stewart ReichlingStewart Reichling is the lead Product Manager on Google Cloud Functions. He is a graduate of Georgia Institute of Technology and has worked across Strategy, Marketing, and Product Management at Google.
Tyler Bui-PalsulichTyler is a Developer Programs Engineer at Google. He graduated with his Master’s in Computer Science from NYU and loves detailed documentation, random trivia, and homemade bread. You can find his blog at buipalsulich.com
Cool things of the week Actually cool thing of the week twitter NoSQL for the serverless age: Announcing Cloud Firestore general availability and updates blog Site Reliability Workbook now available in HTML site Building a serverless online game: Cloud Hero on Google Cloud Platform blog The tech industry is failing people with disabilities and chronic illnesses article Interview GCP Podcast Episode 34: Stackdriver monitoring with Aja Hammerly podcast GCP Podcast Episode 53: Ruby with Aja Hammerly podcast Cloud Functions site Cloud Scheduler site Firestore site Pub/Sub site Go Mod site App Engine site Open Census site GCP Podcast Episode 118: OpenCensus with Morgan McLean and JBD podcast Google Stackdriver site Launch/overview video video The Go Runtime site Cloud Functions Quickstarts site Question of the weekHow many ways can you run containers on GCP?
Where can you find us next?Mark will be at GDC in March, Cloud NEXT, and ECG in April. Agones has a new website agones.dev! And he’s also back to Twitch streaming!
Aja will be at Cloud NEXT in April.
Wed, 06 Feb 2019 - 32min - 445 - Knative with Mark Chmarny and Ville Aikas
We’re back! This week, Mark welcomes Gabi as his new co-host! Listen in as they discuss Knative with Mark Chmarny and Ville Aikas.
So what is Knative? Mark and Ville explain that Knative is basically a way to simplify Kubernetes for developers. This way, developers can focus on writing good code without worrying about all the aspects of Kubernetes, such as deploying and autoscaling. Knative helps with these functions automatically. Knative also supports many languages which allows developers to bring their own stack. The day-to-day of developing doesn’t change, which is the beautiful thing about Knative!
Knative is open source and easy to deploy. Developers can find installation guides online for any Kubernetes certified instance of service. A link to the installation guide for Knative on GKE is in our show notes.
Mark ChmarnyMark is a Technical Program Manager for Serverless focusing on enabling customers to be successful with our serverless portfolio on GCP, and driving community awareness of our serverless products on GKE. Prior to that Mark lead the Partner Engineering team for Data, Analytics and ML at Google. Before Google, Mark was the Sr. Director of Datacenter Solutions Group at Intel.
Ville AikasVille is a member of the Technical Oversight Committee for Knative, leads Knative Eventing, and (with Matt) conceived ducks for K8s. Previously, Ville worked on Helm, K8s Service Catalog and Kubernetes (before it was Kubernetes). Before the OSS stint Ville was a TL for Google Cloud Storage.
Cool things of the week Let the sunshine in: opening the market for more renewable energy in Asia blog Get Go-ing with Cloud Functions: Go 1.11 is now a supported language blog Building Google’s Game of the Year with Cloud Text-to-Speech and App Engine blog Welcome to the service mesh era: Introducing a new Istio blog post series blog Interview Knative site Knative Blog blog Knative on GitHub site Kubernetes site MiniKube site GKE site Pub/Sub site Cloudevents site Knative Install on Google Kubernetes Engine site Knative Slack site Question of the weekHow long does it take for Cloud SQL to detect an outage and trigger High Availability failover?
Where can you find us next?Gabi will be discussing the awesome new features of MySQL 8.0 at PHP UK - London and you will be also able to find her at Cloud NEXT
Mark will be at GDC in March, Cloud NEXT, and ECG in April
Our guests will be at Cloud NEXT and KubeCon Barcelona
Wed, 30 Jan 2019 - 34min - 444 - End of Year Wrap-up
Happy Holidays, everyone! Melanie and Mark wrap up a great year by reminiscing about some of their favorite episodes! We also talk about the big news of the year, our favorite articles, and what’s coming up for the GCP Podcast in 2019.
Cool things of the week Kubernetes and GKE for developers: a year of Cloud Console blog Reducing gender bias in Google Translate blog Cloud Security Command Center is now in beta and ready to use blog Main contentPodcast accomplishments!
We have awesome new intro and outro music, new website, new YouTube videos! We hit 1 million and then 2 million downloads! Mark and the podcast are celebrating their three year anniversary!Top 10 most downloaded episodes of all time!
- GCP Podcast Episode 111: Google Cloud Platform with Sam Ramji podcast GCP Podcast Episode 112: Percy.io with Mike Fotinakis podcast GCP Podcast Episode 146: Google AI with Jeff Dean podcast GCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcast GCP Podcast Episode 128: Decision Intelligence with Cassie Kozyrkov podcast GCP Podcast Episode 113: Open Source TensorFlow with Yifei Feng podcast GCP Podcast Episode 88: Kubernetes 1.7 with Tim Hockin podcast GCP Podcast Episode 108: Launchpad Studio with Malika Cantor and Peter Norvig podcast GCP Podcast Episode 130: Data Science with Juliet Hougland and Michelle Casbon podcast GCP Podcast Episode 125: Open Source at Google Cloud Platform with Sarah Novotny podcast
Top 10 most downloaded episodes for 2018!
Exact same list except Tim Hockin is not #7. Following episodes go up a number and we added to #10 spot. GCP Podcast Episode 122: Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf podcastMark’s favorite episodes
GCP Podcast Episode 129: Developer Relations with Mandy Waite podcast GCP Podcast Episode 121: Kontributing to Kubernetes with Paris Pittman and Garrett Rodrigues podcast GCP Podcast Episode 131: Actions on Google with Mandy Chan podcast GCP Podcast Episode 148: Wellio with Sivan Aldor-Noiman and Erik Andrejko podcast GCP Podcast Episode 110: CPU Vulnerability with Matt Linton and Paul Turner podcast GCP Podcast Episode 125: Open Source at Google Cloud Platform with Sarah Novotny podcast GCP Podcast Episode 140: Container Security with Maya Kaczorowski podcastMelanie’s favorite episodes
GCP Podcast Episode 117: Cloud AI Fei-Fei Li was the Chief Scientist of AI/ML at Google podcast GCP Podcast Episode 114: ML Bias & Fairness with Timnit Gebru and Margaret Mitchell podcast GCP Podcast Episode 141: Accessibility in Tech podcast GCP Podcast Episode 136: Robotics with Raia podcast GCP Podcast Episode 150: Strange Loop, Remote Working, and Distributed Systems with KF podcast DL Indaba GCP Podcast Episode 147: DL Indaba: AI Investments in Africa podcast GCP Podcast Episode 149: Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala podcast GCP Podcast Episode 152: AI Corporations and Communities in Africa with Karim Beguir & Muthoni Wanyoike podcast GCP Podcast Episode 157: NeurIPS and AI Research with Anima Anandkumar podcastFavorite announcements, products, and more at Google Cloud
Unity and Google Cloud Strategic Alliance blog Open Match blog Cloud TPU site Google Dataset Search is in beta site No tricks, just treats: Globally scaling the Halloween multiplayer Doodle with Open Match on Google Cloud blog GKE On-Prem site Open Source - Knative release, Skaffold, Istio updates, gVisor, etc. Google in Ghana blog Cloud NEXT blog GCP Podcast Episode 137: Next Day 1 podcast GCP Podcast Episode 138: Next Day 2 podcast GCP Podcast Episode 139: Next Day 3 podcast Unity and DeepMind partner to advance AI research blog Introducing PyTorch across Google Cloud blog Question of the weekWhat were your personal highlights for 2018?
Mark
Agones Introducing Agones: Open-source, multiplayer, dedicated game-server hosting built on Kubernetes blog github The new website Having Melanie join me on the podcastMelanie
Bringing Francesc back Meeting Grace GCP Podcast Episode 142: Agones With Mark Mandel and Cyril Tovena podcast Where can you find us next?It’s the holidays!
Special thanks! Thank you guests Thank you Jennifer Thank you HD Interactive: James, Trae, Sabrina, and Sean Thank you Greg Thank you Neil, Chuck, and Shana Thank you MBooth for the website overhaul and social media support Thank you Francesc Thank you listeners!Wed, 12 Dec 2018 - 32min - 443 - VP of Engineering - Melody Meckfessel
Melanie and Mark talk with Google Cloud’s VP of Engineering, Melody Meckfessel, this week. In her time with Google Cloud, she and her team have worked to uncover what makes developers more productive. The main focus of their work is DevOps, defined by Melody as automation around the developer workflow and culture. In other words, Melody and her team are discovering new ways for developers to interact and how those interactions can encourage their productive peak.
Melody and her team have used their internal research and expanded it to collaborate with Google Cloud partners and open source projects. The sharing of research and products has created even faster innovation as Google learns from these outside projects and vice versa.
In the future, Melody sees amazing engagement with the community and even better experiences with containers on GCP. She is excited to see the Go community growing and evolving as more people use it and give feedback. Melody also speaks about diversity, encouraging everyone to be open-minded and try to build diverse teams to create products that are useful for all.
Melody MeckfesselMelody Meckfessel is a hands-on technology leader with more than 20 years experience building and maintaining large-scale distributed systems and solving problems at scale. As VP of Engineering, she leads the team building DevOps tools and sharing DevOps best practices across Google and with software development and operations teams around the world. Her team powers the world’s most advanced continuously delivered software, enabling development teams to turn ideas into reliable, scalable production systems. After graduating from UC Berkeley, Melody programmed for startups and enterprise companies. Since joining Google in 2004, Melody has led teams in Google’s core search systems, search quality and cluster management. Melody is passionate about making software development fast, scalable, and fun.
Cool things of the week Mark is back from vacation! We are at 2 million downloads! tweet Greg Wilson twitter and github Open source gaming: Agones - 0.6.0 - site Open Match - 0.2.0 RC - site What’s new at Firebase Summit 2018 blog Interview GCP Podcast Episode 137: Next Day 1 podcast Stackdriver site GitLab site Google SRE site Borg site Cloud Spanner site Go site GKE On-Prem site Skaffold site Minikube site DORA site Cloud Build site Bazel site Question of the weekIf I want to configure third party notifications (such as Slack or Github) into my Cloud Build configuration - how can I do that?
Sending build notifications Configuring notifications for third-party services Where can you find us next?Mark will be at KubeCon next week.
Melanie will be at NeurIPS this week. She’ll be attending Queer in AI, Black in AI, and LatinX this week as well.
Wed, 05 Dec 2018 - 33min - 442 - NeurIPS and AI Research with Anima Anandkumar
Melanie is solo this week talking with Anima Anandkumar, a Caltech Bren professor and director of ML research at NVIDIA. We touch on tensors, their use, and how they relate to TensorFlow. Anima also details the work she does with NVIDIA and how they are helping to advance machine learning through hardware and software. Our main discussion centers around AI and machine learning research conferences, specifically the Neural Information Processing Systems conference (commonly referred to as NIPS) and the reason they have rebranded.
NIPS originally started as a small conference at Caltech. As deep learning became more and more popular, it grew exponentially. With the higher attendance and interest, the acronym became center stage. Sexual innuendos and harassing puns surrounded the conference, sparking a call for a name change. At first, conference organizers were reluctant to rebrand and they used recent survey results as a reason to keep NIPS.
Anima discusses her personal experience protesting the acronym, opening up about the hate speech and threats of which she and others received. Despite the harassment, Anima and others continued to protest, petition, and share stories of mistreatment within the community which helped lead to the name/acronym change to NeurIPS. The rebranding hopes to reestablish an inclusive academic community and move the focus back to machine learning research and away from unprofessional attention.
Anima AnandkumarAnimashree (Anima) Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of machine learning. In particular, she has spearheaded research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization.
Anima is the recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. She is the youngest named professor at Caltech, the highest honor bestowed to an individual faculty. She is part of the World Economic Forum’s Expert Network consisting of leading experts from academia, business, government, and the media. She has been featured in documentaries by PBS, KPCC, wired magazine, and in articles by MIT Technology review, Forbes, Yourstory, O’Reilly media, and so on.
Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018.
Cool things of the week Taking charge of your data: using Cloud DLP to de-identify and obfuscate sensitive information blog Unlocking what’s possible with medical imaging data in the cloud blog Google makes dataset of 50 million drawings available on its cloud blog Machine learning on machines: building a model to evaluate CPU performance blog Interview Anima at TensorLab site NeurIPS site Petition site Name Change (results of the poll) letter Johns Hopkins University letter letter AI Researchers Fight Over Four Letters article From the Board: Changing our Acronym letter TensorFlow site NVIDIA site Question of the weekWhat are some actions I can take if I’m being trolled, harassed and/or bullied online or I want to be proactive about my safety?
If you are experiencing harassment, tell someone who can support you, document it, and assess escalating to authorities depending on the severity. Surveillance Self-Defense Preventing Doxxing Where can you find us next?Mark will be at KubeCon in December.
Melanie will be at SOCML this week and NeurIPS next week. She’ll be attending WIML, Black in AI, and LatinX.
Wed, 28 Nov 2018 - 45min - 441 - Grace Health with Therese Mannheimer and Roman Jasins
Happy Thanksgiving! On this episode, Mark and Melanie learn about Grace.health with co-founders Therese Mannheimer and Roman Jasins. Grace.health’s goal is to give women control of information about their own bodies, allowing them to make informed healthcare decisions. Grace.health is a female health companion that lets women track and plan their periods, fertility, and ask questions. It is a global undertaking, hoping to reach not just the tech savvy woman, but all women in all markets worldwide.
Stigmas and taboos around the world portray periods as dirty and contagious, preventing women from being able to work, go to school, or even sleep in the house. Grace.health’s goal is to educate people to help limit these superstitions and allow women to live fuller lives. With Grace.health, women know when their periods are coming or when the are ovulating so they can make the proper plans.
In the longterm, Grace.health hopes to be a tool to not only help women identify any health concerns but also find a healthcare professional and get the treatment necessary.
Therese MannheimerTherese, one of the founders of Grace.health, is an experienced business developer and product person who believes that the best way to solve problems is to put relevant solutions into the hands of people. She is also co-founder of the Allbright Foundation that works with driving opinion around meritocracy.
Roman JasinsRoman is CTO and co-founder of Grace.health.
Cool things of the week Building IoT Applications on Google Cloud video Getting started with Kubeflow Pipelines blog Subatomic particles and big data: Google joins CERN openlab blog GCP Podcast Episode 145: ATLAS with Dr. Mario Lassnig podcast Istio Routing Basics site Interview Grace Health site Google Cloud Startup site Dialogflow site FEM International site UN site Doctors Without Borders site The Hunger Project site Question of the weekWith background cloud functions - how can I set them up to retry on failure?
Background functions Retrying Background Functions Where can you find us next?Mark and will be at KubeCon in December.
Melanie will be at SOCML in November and Black in AI and LatinX in December.
Wed, 21 Nov 2018 - 31min - 440 - Confluent and Kafka with Viktor Gamov
Viktor Gamov is on the podcast today to discuss Confluent and Kafka with Mark and special first-time guest host, Michelle. Viktor spends time with Mark and Melanie explaining how Kafka allows you to stream and process data in real-time, and how Kafka helps Confluent with its advanced streaming capabilities. Confluent Cloud helps connect Confluent and cloud platforms such as Google Cloud so customers don’t have to manage anything - Confluent takes care of it for you!
To wrap up the show, Michelle answers our question of the week about Next 2019.
Viktor GamovViktor Gamov is a Developer Advocate at Confluent, the company that makes a streaming platform based on Apache Kafka. Working in the field, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping different organizations design and develop low latency, scalable, and highly available distributed systems.
Back in his consultancy days, he co-authored O’Reilly’s «Enterprise Web Development».
He is a professional conference speaker on distributed systems, Java, and JavaScript topics, and is a regular at events, including JavaOne, Devoxx, OSCON, QCon, and others. He blogs and produces the podcasts Razbor Poletov (in Russian) and co-hosts DevRelRad.io.
Follow Viktor on Twitter, where he posts about gym life, food, open source, and, of course, Kafka and Confluent!
Cool things of the week Kubeflow published a leadership guide to inclusivity site Picture what the cloud can do: How the New York Times is using Google Cloud to find untold stories in millions of archived photos blog Click-to-deploy on Kubeflow site Containerd available for beta testing in Google Kubernetes Engine blog Introducing AI Hub and Kubeflow Pipelines: Making AI simpler, faster, and more useful for businesses blog Announcing Cloud Scheduler: a modern, managed cron service for automated batch jobs blog Interview Kafka site Kafka Connect site Kafka Streams site KSQL site Confluent site Confluent Hub site Confluent Schema Registry site Confluent Cloud on Google Cloud Marketplace site Confluent Enterprise site Confluent Cloud site Confluent on Github site Confluent Blog blog How to choose the number of topics/partitions in a Kafka cluster? blog Publishing with Apache Kafka at The New York Times blog Google Cloud Platform and Confluent partner to deliver a managed Apache Kafka service blog Viktor’s Presentations site Confluent Community site Question of the weekIf I wanted to submit a CFP for Next 2019, how would I do it?
Where can you find us next?Mark and Michelle will be at KubeCon in December.
Michelle will be at Scale by the Bay on Friday. She’ll also be at YOW! Sydney, Brisbane, & Melbourne in Nov & December.
Wed, 14 Nov 2018 - 37min - 439 - G Suite with Joanna Smith and Alicia Williams
Joanna Smith and Alicia Williams talk G Suite with Mark and Melanie this week! G Suite is Google’s collection of apps to help make working easier. It includes things like Gmail, Docs, Sheets, Calendar, and more and is designed to be collaborative. It’s customizable, allowing users to adjust the programs to their needs and be more effective – including integrating it with Google Cloud! G Suite has an active community of developers building add-ons to increase functionality as well.
Joanna SmithJoanna is a Developer Advocate for G Suite, working to make sure that anyone can extend G Suite with clever solutions to make Google work for them.
Alicia WilliamsAlicia is an advocate for Google Cloud, trying to help data analysts solve problems. She uses machine learning, SQL, and visualizations to help solve problems and tell stories.
Cool things of the week A dataset of congressional bills and built a text classification model with AutoML Natural Language by Sara Robinson tweet and blog Serverless from the ground up: Connecting Cloud Functions with a database (Part 3) blog How 20th Century Fox uses ML to predict a movie audience blog Kick off developer projects with improved G Suite Developer Hub blog This multiplayer game integrates Open Match, a highly-scalable, open source matchmaking framework from Google Cloud, Unity tweet, and Google Doodle Happy Anniversary, Melanie! Interview G Suite site Google Sheets site G Suite on Google Plus site G Suite Marketplace site G Suite on Github site G Suite APIs site G Suite App Maker site Building IoT Applications on Google Cloud video Firestore Google Apps Script Library site Build on G Suite site Advanced Services Documentation site BigQuery site New Google Sheets enterprise data integrations with BigQuery and SAP blog Analyze big data within Google Sheets site Analyzing text in a Google Sheet using Cloud Natural Language API and Apps Script blog Entity sentiment analysis on text data in a Google sheet using Cloud Natural Language Github site Question of the weekWhere can you find us next?Alicia will be at DevFest.
Mark will be at KubeCon in December.
Melanie will be at SOCML this month.
Wed, 07 Nov 2018 - 34min - 438 - Bazel with Tony Aiuto
Happy Halloween! On this not-so-spooky episode of the Google Cloud Podcast, Melanie and Mark talk with Tony Aiuto of Bazel. Bazel grew from Google’s internal build system, Blaze, to become the open source Bazel that it is today. The aim of the project is to quickly make very large builds across multiple languages.
Tony AiutoTony is the tech-lead/manager for Bazel Product Excellence. He works on removing what enterprise users see as barriers to adoption. Tony’s efforts are on bridging the gap between the piece of open source code that the developers see and the product that users want to see.
Commentary of the weekWhere can I donate if I’m angry or sad by last week’s news?
Time’s Up Now site Project Alloy site MeToo Stem site HIAS site ADL site Protest NIPS conference name site Interview Bazel site BazelCon site Bazel on GitHub site Bazel Discuss on Google Groups site Bazel on Slack site Tweag site Tweag Haskell Rules site Cool things of the week It’s Halloween! And it’s the 3rd anniversary of the podcast! Gain insights about your GCP resources with asset inventory blog Introducing the Cloud KMS plugin for HashiCorp Vault blog Serverless from the ground up: Adding a user interface with Google Sheets (Part 2) blog Cyber Security for the Previous Generation blog The Red Sox won the World Series! Where can you find us next?Mark will be at KubeCon in December.
Melanie will be at SOCML in November.
Wed, 31 Oct 2018 - 30min - 437 - AI Corporations and Communities in Africa with Karim Beguir & Muthoni Wanyoike
On the podcast today, we have two more fascinating interviews from Melanie’s time at Deep Learning Indaba! Mark helps host this episode as we speak with Karim Beguir and Muthoni Wanyoike about their company, Instadeep, the wonderful Indaba conference, and the growing AI community in Africa.
Instadeep helps large enterprises understand how AI can benefit them. Karim stresses that it is possible to build advanced AI and machine learning programs in Africa because of the growing community of passionate developers and mentors for the new generation. Muthoni tells us about Nairobi Women in Machine Learning and Data Science, a community she is heavily involved with in Nairobi. The group runs workshops and classes for AI developers and encourages volunteers to participate by sharing their knowledge and skills.
Karim BeguirKarim Beguir helps companies get a grip on the latest AI advancements and how to implement them. A graduate of France’s Ecole Polytechnique and former Program Fellow at NYU’s Courant Institute, Karim has a passion for teaching and using applied mathematics. This led him to co-found InstaDeep, an AI startup that was nominated at the MWC17 for the Top 20 global startup list made by PCMAG. Karim uses TensorFlow to develop Deep Learning and Reinforcement Learning products. Karim is also the founder of the TensorFlow Tunis Meetup. He regularly organises educational events and workshops to share his experience with the community. Karim is on a mission to democratize AI and make it accessible to a wide audience.
Muthoni WanyoikeMuthoni Wanyoike is the team lead at Instadeep in Kenya. She is Passionate about bridging the skills gap in AI in Africa and does this by co-organizing the Nairobi Women in Machine Learning community. The community enables learning, mentorship, networking, and job opportunities for people interested in working in AI. She is experienced in research, data analytics, community and project management, and community growth hacking.
Cool things of the week Is there life on other planets? Google Cloud is working with NASA’s Frontier Development Lab to find out blog In this Codelab, you will learn about StarCraft II Learning Environment project and to train your first Deep Reinforcement Learning agent. You will also get familiar some of the concepts and frameworks to get to train a machine learning agent. site A new course to teach people about fairness in ML blog Serverless from the ground up: Building a simple microservice with Cloud Functions (Part 1) blog Superposition Podcast from Deep Learning Indaba with Omoju Miller and Nando de Freitas tweet and video Interview Instadeep site Nairobi Women in Machine Learning and Data Science site Neural Information Processing Systems site Google Launchpad Accelerator site TensorFlow site Google Assistant site Cloud AutoML site Hackathon Lagos site Deep Learning Book book Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization research paper Lessons learned on building a tech community blog Kenya Open Data Initiative site R for Data Science GitHub site and book TWIML Presents Deep Learning Indaba site Question of the weekIf I want to create a GKE cluster with a specific major kubernetes version (or even just the latest) using the command line tools, how do I do that?
GCloud container clusters create site Specifying cluster version site Where can you find us next?Our guests will be at Indaba 2019 in Kenya.
Mark will be at KubeCon in December.
Melanie will be at SOCML in November.
Wed, 24 Oct 2018 - 37min - 436 - Java & Jib with Patrick Flynn and Mike Eltsufin
Mark and Melanie speak with Patrick Flynn and Mike Eltsufin about their exciting new Java products for Google Cloud. Mike tells us all about the new Spring Cloud GCP, a helpful tool that integrates Google Cloud Platform APIs and the Spring Framework. Patrick elaborates on his team’s new tool, Jib, a Java container image builder, and how it helps Java developers.
Patrick FlynnPatrick Flynn is a long time Java developer who spent many years in Google Ads, and is now four years into being the tech lead of the Google Cloud Java Tools team.
Mike EltsufinMike Eltsufin has been an enterprise Java application developer in the banking sector for over a decade before joining Google. Currently, he’s the tech lead of the Cloud Java Frameworks team, focusing on bringing the goodness of Spring Boot to Google Cloud Java developers.
Cool things of the week Introducing container-native load balancing on Google Kubernetes Engine blog Simplifying cloud networking for enterprises: announcing Cloud NAT and more blog Store it, analyze it, back it up: Cloud Storage updates bring new replication options blog Postmortems and Retrospectives with Liz and Seth video GCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcast Interview App Engine site Kubernetes Engine site Spring Framework site Spring Boot site Spring Cloud GCP site Spring Cloud GCP on GitHub site Cloud Pub/Sub site Spanner site Cloud Sql site Cloud Datastore site Docker site Jib on GitHub site Cloud Tools for IntelliJ Documentation site Introducing Jib — build Java Docker images better blog Bazel site Skaffold on GitHub site Netty site SpringOne site Knative and riff for Spring Developers video Jib Gitter site Sig Apps site Kubernetes Slack site Codelabs site Question of the weekWhat if we have an object in Google Cloud Storage, and I want to automatically change an aspect of it – such as:
Downgrade the storage class of objects older than 365 days to Coldline Storage. Delete objects created before January 1, 2013. Keep only the 3 most recent versions of each object in a bucket with versioning enabled.Managing Object Lifecycles docs and guide
Where can you find us next?Patrick’s team will be at KubeCon Shanghai and Oracle Code One and he will be at KubeCon Seattle
Mark will be at KubeCon in December.
Melanie will be at Twilio Signal $BASH event on Thursday and SOCML in November.
Wed, 17 Oct 2018 - 29min - 435 - Strange Loop, Remote Working, & Distributed Systems with KF
Melanie and Mark celebrate their 150th episode this week with a high-energy interview of mutual friend, KF, at Strange Loop. KF gives her perspective on Strange Loop, working remotely, and distributed systems. She compliments Strange Loop for the diversity it has achieved as the conference has grown. She laments the lack of introductory material for distributed systems learners, saying it’s not as complicated as everyone thinks but needs more educational material for beginners! In general, she believes everyone could benefit from some code study, especially if you can find a good mentor. KF also gives us some great tips for working remotely and staying effective and social.
Katherine FellowsKF is a senior engineer focusing on backend, infrastructure, and data engineering. She has worked remotely for companies at all stages of growth in San Francisco, New York City, Portland, and Philadelphia. Most recently, she’s been a Senior Software Engineer at Turbine Labs, developing tools that leverage a service mesh to make collaboration more effective for engineering teams. KF currently lives with her cat in Portland, OR.
Cool things of the week Introducing PyTorch across Google Cloud blog Is that a device driver, golf driver, or taxi driver? Building custom translation models with AutoML Translate blog A developer onramp to Kubernetes with GKE blog Network controls in GCP vs. on-premises: Not so different after all blog Interview Strange Loop site Kubernetes site Docker site SRE site GCP Podcast Episode 102: Smart Parking and IoT Core with Brian Granatir podcast Question of the weekHow do I encrypt and decrypt data with Cloud KMS? Symmetric and Asymmetric
Where can you find us next?Mark will definitely be at Kubecon in December. Mark streams on Twitch streaming.
Melanie will be at CAMLIS.
Get in touch! Website Email us! Ask us a question Reddit Google Plus TwitterWed, 10 Oct 2018 - 36min - 434 - Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala
Today, Melanie brings you another great interview from her time at Deep Learning Indaba in South Africa. She was joined by Yabebal Fantaye and Jessica Phalafala for an in-depth look at the deep learning research that’s going on in the continent.
At the African Institute for Mathematical Sciences, the aim is to gather together minds from all over Africa and the world to not only learn but to use their distinct perspectives to contribute to research that furthers the sciences. Our guests are both part of this initiative, using their specialized skills to expand the abilities of the group and stretch the boundaries of machine learning, mathematics, and other sciences.
Yabebal elaborates on the importance of AIMS and Deep Learning Indaba, noting that the more people can connect with each other, the more confidence they will gain. Jessica points out how this research in Africa can do more than just advance science. By focusing on African problems and solutions, machine learning research can help increase the GDP and economic standards of a continent thought to be “behind”.
Jessica PhalafalaJessica Phalafala is a PhD Applied Mathematics student at Stellenbosch University and currently affiliated with the African Institute for Mathematical Sciences. In her mid-twenties, she finds herself with four qualifications all obtained with distinction, including a Master of Science in Pure Mathematics degree from the University of the Witwatersrand. Jessica is interested in using her functional analysis background together with a number of newly developed skills to contribute towards developing rigorous mathematical theory to support some existing deep learning methods and algorithms for her PhD research. Outside of research she takes great interest in fast-tracking the level of accessibility of higher education in South Africa as co-founder of the Sego Sa Lesedi Foundation, a platform created to inform underprivileged high school learners of career and funding opportunities in science as well as provide them with mentorship as they transition into undergraduate studies.
Yabebal FantayeDr. Fantaye is an AIMS-ARETE Research Chair based in South Africa. His research is in applying artificial intelligence and advanced statistical methods to cosmological data sets in order to understand the nature of the universe and to satellite images of the Earth in order to find alternative ways to monitor African development progress. Dr. Fantaye is a fellow of the World Economic Forum Young Scientists community, and a fellow and a Chair of the Next Einstein Forum Community of Scientists.
Cool things of the week A Kubernetes FAQ for the C-suite blog BigQuery and surrogate keys: a practical approach blog Adding custom intelligence to Gmail with serverless on GCP blog Announcing Cloud Tasks, a task queue service for App Engine flex and second generation runtimes blog Unity and DeepMind partner to advance AI research blog Interview African Institute for Mathematical Sciences site Provable approximation properties for deep neural networks research Next Einstein Initiative site Square Kilometer Array (SKA) site University of the Witwatersrand site Council of Scientific and Industrial Research (CSIR) site South African National Space Agency (SANSA) site National Astrophysics and Space Science Programme (NASSP)site IndabaX site Coursera site Andrej Karpathy research Andrej Karpathy Blog blog Question of the weekIf I’m using the Cluster Autoscaler for Kubernetes (or GKE), how can I prevent it from removing specific nodes from the cluster when scaling down?
How can I prevent Cluster Autoscaler from scaling down a particular node? github What types of pods can prevent CA from removing a node? github Where can you find us next?Mark will definitely be at Kubecon in December and will probably be at Unite L.A. this month.
Melanie is speaking at Monktoberfest Oct 4th in Portland, Maine and will be at CAMLIS the following week.
Wed, 03 Oct 2018 - 49min - 433 - Wellio with Sivan Aldor-Noiman and Erik Andrejko
In our last (but not least!) interview from NEXT, Mark and Melanie talked with Sivan Aldor-Noiman and Erik Andrejko about Wellio, an awesome new platform that combines AI and healthy eating. Wellio was developed as a way to not only educate users on the importance of proper nutrition for well-being but to give them their own personal nutritionist.
The data scientists at Wellio started from scratch (pun intended) to create their own food-related database and then began training models so the data could be organized and personalized. Using a combination of human power and machine learning techniques, Wellio learns your preferences, allergies, diets, etc. and will make healthy decisions for you based on these key facts. It chooses recipes, populates a grocery list, and even has the ingredients delivered to your door in time for dinner!
Sivan Aldor-NoimanSivan heads Data Science for Wellio, an early stage startup in the FoodTech space that is helping people eat better. In Wellio, her team delivers models that help inspire, empower and adapt to people’s eating needs, cooking abilities and health constraints. She began her career in the Israeli military serving as an instructor for an anti-tank missile unit (please don’t think Rambo, think more like a classroom teacher). Sivan then transitioned to school and received her undergraduate degree in Industrial Engineering and a Master in Statistics from the Technion, Israel Institute of Technology. She moved to the U.S. to complete a Ph.D. degree in Statistics from The Wharton School, University of Pennsylvania. In her previous job, Sivan ended up leading several Data Science teams and learned that she really liked leading technical people since she got to learn a lot from them. Ultimately, she missed the smaller company mentality, so she is back in the startup world. Sivan was once asked to define herself so here goes: “I am an enthusiastic disagreeable giver and a constant empirical driven learner”.
Erik AndrejkoErik has spent his career making a positive impact on the world through mathematics. He is a co-founder and Chief Technology Officer of Wellio - an early stage startup applying AI to the intersection of food and human health. Previously, Erik lead the data science and research organization at The Climate Corporation, which applies data science to solve challenging problems in numerous domains including climatology, agronomic modeling and geospatial applications. When not analyzing interesting datasets, Erik can often be found riding up some incline on a bicycle or cooking.
Cool things of the week Summary of Google Cloud Next Tokyo site Deep Learning Indaba GCP Credit Awards site Data Studio and Dataprep are now generally available blog DS: BI analyze more than 500 other data sources via more than 100 partner-built connectors and used by over a million people globally DP: new look, team collab and more analytics features blog Announcing general availability of Cloud Memorystore for Redis blog Coursera Advanced Machine Learning with TensorFlow with GCP blog Webinar on October 9th at 9AM PST to learn more Simplifying ML predictions with Google Cloud Functions blog 50 Best Cloud Security Podcasts site GCP Podcast Episode #100: Vint Cerf: past, present, and future of the internet podcast Interview Wellio site GKE site Cloud Storage site Pub/Sub site Cloud Composer site Cloud ML Engine site Stackdriver site Cloud Functions site TensorFlow site Keras site Scikit Learn site Cloud TPU site Cloud AutoML site Cloud Vision site DevOps201 for Application Developers video Cloud Firestore site Day 3 Keynote: Made Here Together video Spinnaker site Contact Wellio email Questions of the weekIs Inbox going away?
Inbox is signing off: find your favorite features in the new Gmail blog 5 ways the new Gmail can help you get more done blog Where can you find us next?We’ll both be at Strangeloop.
Mark will probably be at Unite L.A. in October.
Melanie speaking at Monktoberfest Oct 4th in Portland, Maine.
Wed, 26 Sep 2018 - 45min - 432 - DL Indaba: AI Investments in Africa
This week we are bringing you a couple of interviews from last week’s Deep Learning Indaba conference. Dr. Vukosi Marivate, Andrea Bohmert and Yasin(i) Musa Ayami talk about the burgeoning machine learning community, research, companies and AI investment landscape in Africa. While Mark is at Google Cloud Next in Tokyo, Melanie is joined by special guest co-hosts Nyalleng Moorosi and Willie Brink.
Vukosi and Yasin(i) share how Deep Learning Indaba is playing an important role to recognize and grow machine learning research and companies on the African continent. We also discuss Yasin(i)’s prototyped app, Tukuka, and how it won the Maathai Award which is given to individuals who are a positive force for change. Tukuka is being built to aid economically disadvantaged women in Zambia get access to financial resources that are currently unavailable. Andrea rounds up the interviews by giving us a VC perspective on the AI start-up landscape in Africa and how that compares to other parts of the world. As Nyalleng says at the end, AI is happening in Africa and has great potential for impact.
Willie BrinkWillie Brink is a senior lecturer of Applied Mathematics in the Department of Mathematical Sciences at Stellenbosch University, South Africa. He teaches various courses in Applied Mathematics and Computer Science, at all levels, and his research interests fall mainly in the broad fields of computer vision and machine learning. He has worked on multi-view geometry, visual odometry, recognition and tracking, probabilistic graphical models, as well as deep learning. Recent research directions include visual knowledge representation and reasoning. Willie is also one of the founders and organisers of the Deep Learning Indaba, an exciting initiative working to celebrate and strengthen machine learning and artificial intelligence research in Africa, and to promote diversity and transformation in these fields.
Nyalleng MoorosiNyalleng is a Software Engineer and Researcher with the Google AI team in Ghana. Before joining Google, Nyalleng was a senior Data Science researcher at South Africa’s national science lab, Council for Scientific and Industrial Research (CSIR), with the Modeling and Digital Sciences Unit. In her capacity at CSIR, she works on projects ranging from: rhino poaching prevention with park rangers, working with news outlets to understand social media sentiments, and searching for Biomarkers in African cancer proteomes. Before getting into ML research at CSIR, she was a computer science lecturer at Fort Hare University and a software engineer at Thomson Reuters. Moorosi is an active member of Women in Machine Learning, Black in Artificial Intelligence, and an organising member of the Deep Learning Indaba - a yearly workshop that gathers African researchers in one space to share ideas and grow machine learning and artificial intelligence capabilities.
Dr. Vukosi MarivateDr. Vukosi Marivate holds a PhD in Computer Science (Rutgers University) and MSc & BSc in Electrical Engineering (Wits University). He has recently started at the University of Pretoria as the ABSA Chair of Data Science. Vukosi works on developing Machine Learning/Artificial Intelligence methods to extract insights from data. A large part of his work over the last few years has been in the intersection of Machine Learning and Natural Language Processing (due to the abundance of text data and need to extract insights). As part of his vision for the ABSA Data Science chair, Vukosi is interested in Data Science for Social Impact, using local challenges as a springboard for research. In this area Vukosi has worked on projects in science, energy, public safety and utilities. Vukosi is an organizer of the Deep Learning Indaba, the largest Machine Learning/Artificial Intelligence workshop on the African continent, aiming to strengthen African Machine Learning. He is passionate about developing young talent, supervising MSc and PhD students, and mentoring budding Data Scientists.
Yasin(i) Musa AyamiYasin(i) Musa Ayami is Team Lead at TsogoloTech and a certified Oracle Associate. Mr. Ayami recently graduated with a Master’s Degree in Information Technology at the prestigious Durban University of Technology (DUT) were his study mainly focused on Computer Vision and Machine Learning. Prior to him enrolling for his Master’s Degree, Mr Ayami served as an Intern Software Engineer at DUT’s App Factory where he also served as Team Lead before deciding to further his studies. He also worked as a Part-Time Student Instructor at the DUT. In 2017, he co-founded TsogoloTech. His vision has always been to leverage technology for social good.
Andrea BohmertAndrea Bohmert is a Co-Managing Partner at Knife Capital. Before joining Knife Capital, she was the Founder and Co-Managing Partner of Hasso Plattner Ventures Africa. Passionate about strategizing how to scale businesses and meeting the entrepreneurs responsible for creating them, she has been actively involved in numerous initiatives aiming to accelerate the African entrepreneurial ecosystem.
What are you looking forward to this week? AlphaGo Movie site WiML: Women in Machine Learning site Deep Learning Indaba Poster Sessions site Neural Information Processing Systems site Interview Deep Learning Indaba site Deep Learning Indaba GitHub site Deep Learning Indaba Tutorials site Deep Learning Indaba 2018 Slides site Deep Learning Indaba 2017 Presentations videos Deep Learning Indaba X site Yasin(i) Musa Ayami on GitHub site and LinkedIn site Deep Learning Indaba Award Winners site and tweet Maathai Award site Xamarin site SuperPosition at The Deep Learning Indaba with Dr. Vukosi Marivate podcast Knife Capital site Investing in AI by Andrea Bohmert article 10 Defining Moments that shaped the 2016 SA startup ecosystem article Data Science Africa site International Data Week site Google Cloud Platform Credits award winners tweet Question of the weekThe co-hosts weigh in on our question of the week: What have you taken away from this week and will take forward?
Where can you find us next?Mark and Melanie will be at Strangeloop.
Willie will be teaching Machine Learning at Stellenbosch University this summer.
Nyalleng will be at the Women in Machine Learning Workshop and the Neural Information Processing Systems Conference in Montreal in December.
Wed, 19 Sep 2018 - 1h 03min - 431 - Google AI with Jeff Dean
Jeff Dean, the lead of Google AI, is on the podcast this week to talk with Melanie and Mark about AI and machine learning research, his upcoming talk at Deep Learning Indaba and his educational pursuit of parallel processing and computer systems was how his career path got him into AI. We covered topics from his team’s work with TPUs and TensorFlow, the impact computer vision and speech recognition is having on AI advancements and how simulations are being used to help advance science in areas like quantum chemistry. We also discussed his passion for the development of AI talent in the content of Africa and the opening of Google AI Ghana. It’s a full episode where we cover a lot of ground. One piece of advice he left us with, “the way to do interesting things is to partner with people who know things you don’t.”
Listen for the end of the podcast where our colleague, Gabe Weiss, helps us answer the question of the week about how to get data from IoT core to display in real time on a web front end.
Jeff DeanJeff Dean joined Google in 1999 and is currently a Google Senior Fellow, leading Google AI and related research efforts. His teams are working on systems for speech recognition, computer vision, language understanding, and various other machine learning tasks. He has co-designed/implemented many generations of Google’s crawling, indexing, and query serving systems, and co-designed/implemented major pieces of Google’s initial advertising and AdSense for Content systems. He is also a co-designer and co-implementor of Google’s distributed computing infrastructure, including the MapReduce, BigTable and Spanner systems, protocol buffers, the open-source TensorFlow system for machine learning, and a variety of internal and external libraries and developer tools.
Jeff received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on whole-program optimization techniques for object-oriented languages. He received a B.S. in computer science & economics from the University of Minnesota in 1990. He is a member of the National Academy of Engineering, and of the American Academy of Arts and Sciences, a Fellow of the Association for Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Sciences (AAAS), and a winner of the ACM Prize in Computing.
Cool things of the week Google Dataset Search is in beta site Expanding our Public Datasets for geospatial and ML-based analytics blog Zip Code Tabulation Area (ZCTA) site Google AI and Kaggle Inclusive Images Challenge site We are rated in the top 100 technology podcasts on iTunes site What makes TPUs fine-tuned for deep learning? blog Interview Jeff Dean on Google AI profile Deep Learning Indaba site Google AI site Google AI in Ghana blog Google Brain site Google Cloud site DeepMind site Cloud TPU site Google I/O Effective ML with Cloud TPUs video Liquid cooling system article DAWNBench Results site Waymo (Alphabet’s Autonomous Car) site DeepMind AlphaGo site Open AI Dota 2 blog Moustapha Cisse profile Sanjay Ghemawat profile Neural Information Processing Systems Conference site Previous Podcasts GCP Podcast Episode 117: Cloud AI with Dr. Fei-Fei Li podcast GCP Podcast Episode 136: Robotics, Navigation, and Reinforcement Learning with Raia Hadsell podcast TWiML & AI Systems and Software for ML at Scale with Jeff Dean podcast Additional Resources arXiv.org site Chris Olah blog Distill Journal site Google’s Machine Learning Crash Course site Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville book and site NAE Grand Challenges for Engineering site Senior Thesis Parallel Implementations of Neural Network Training: Two Back-Propagation Approaches by Jeff Dean paper and tweet Machine Learning for Systems and Systems for Machine Learning slides Question of the weekHow do I get data from IoT core to display in real time on a web front end?
Building IoT Applications on Google Cloud video MQTT site Cloud Pub/Sub site Cloud Functions site Cloud Firestore site Where can you find us next?Melanie is at Deep Learning Indaba and Mark is at Tokyo NEXT. We’ll both be at Strangeloop end of the month.
Gabe will be at Cloud Next London and the IoT World Congress.
Wed, 12 Sep 2018 - 44min - 430 - ATLAS with Dr. Mario Lassnig
Our guest today is Dr. Mario Lassnig, a software engineer working on the ATLAS Experiment at CERN! Melanie and Mark put on their physics hats as they learn all about what it takes to manage the petabytes of data involved in such a large research project.
Dr. Mario LassnigDr. Mario Lassnig has been working as a Software Engineer at the European Organisation for Nuclear Research (CERN) since 2006. Within the ATLAS Experiment, he is responsible for all aspects of its large-scale distributed data, including management, storage, network, and access. He is also one of the principal developers of the Rucio system for scientific data management. In his previous life, he developed mobile navigation software for multi-modal transportation in Vienna at Seibersdorf Research, as well as cryptographic smart-card applications for access control at the University of Klagenfurt. He holds a Master’s degree in Computer Science from the University of Klagenfurt, and a doctoral degree in Computer Science from the University of Innsbruck.
Cool things of the week The Machines Can Do the Work, a Story of Kubernetes Testing, CI, and Automating the Contributor Experience blog Google Cloud grants $9M in credits for the operation of the Kubernetes project blog Improving job searches for veterans with Google Cloud’s Talent Solution blog Unity For Beginners… From a Beginner blog GCP Podcast Episode 134: Connected Games with Unity and Google Cloud with Brett Bibby and Micah Baker podcast Neural Information Processing Systems Conference site Interview Rucio - Scientific Data Management site CERN site ATLAS site Google Cloud Storage site Google Compute Engine site G Suite site GKE On-Prem site Rucio on GitHub site University of Oslo site University of Innsbruck site Brookhaven National Laboratory site University of Texas at Arlington site Square Kilometer Array site DUNE site LIGO Lab site Scientific Computing with Google Cloud Platform: Experiences from the Trenches in Particle Physics and Earth Sciences video GCP Podcast Episode 122: Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf podcast Rucio Workshop site ACM/IEEE Supercomputing 2018 site Question of the weekI am not familiar with Docker or Kubernetes - where can I get started?
Docker
Docker’s official “Getting Started” guide Katacoda’s free, interactive Docker courseKubernetes
You should totally read this comic and interactive tutorial Katacoda’s free, interactive Kubernetes course Where can you find us next?Melanie will be at Deep Learning Indaba.
Mark will be at Tokyo NEXT.
We’ll both be at Strange Loop.
Wed, 05 Sep 2018 - 25min - 429 - Mercari with Taichi Nakashima and Tonghui (Terry) Li
This week we learn about how Mercari is handling migrating from an on-prem monolithic infrastructure to cloud microservices architecture with GKE. Terry and Taichi share with Melanie and Mark what drove the decision for the change, the challenges and what the team has learned from the transition. The real value for this change has been about making the platform more scalable as they grow to meet the needs of their millions of daily active users. It’s another great interview we captured out of Google NEXT.
Taichi NakashimaTaichi is a tech lead for the microservices platform at Mercari. Prior to Mercari, he was a backend engineer at Rakuten, building internal Platform as a Service. Mercari chose microservice architecture as their next development platform, and built two teams to proceed with the migration. One is the microservice platform team that is building a platform that can deploy any microservices, and the other is the microservice development team that are focusing on migrating the current monolithic API to microservices. Mercari use GKE as a platform and GCP as the main infrastructure for microservices.
Tonghui (Terry) LiTonghui joined Mercari in April 2018 and is responsible for migrating the monolithic backend API to a microservice architecture. Prior to Mercari, he was a tech lead of Indeed, working on different components of the job search engine including Title Normalization, Location system, Job Search API, and more.
Cool things of the week How to call the Cloud AutoML API from a web app site GCPPodcast Episode 108: Launchpad Studio with Malika Cantor and Peter Norvig site Who is this street artist? Building a graffiti artist classifier using AutoML blog Datastore Transactions, Batches and Perf! video and twitter Deploy only what you trust: introducing Binary Authorization for Google Kubernetes Engine blog Interview Mercari site Microservices on GKE at Mercari site Continuous Delivery for Microservices with Spinnaker at Mercari site Microservices site GKE site Terraform site Spinnaker site GKE On-Prem site GKE On-Prem - Managing Across Hybrid IT Environments with Open Architectures (Cloud Next ‘18) video Mercari on GitHub site BigQuery site Mercari Engineering Blog blog kubectl site Google Cloud AutoML sitePhoto credit: Taichi Nakashima
Question of the weekHow do I use my existing identity management system with Google Cloud Platform? site and blog
Where can you find us next?Mark is at Pax Dev and Pax West. Find him and say hi.
In September, Mark will be at Tokyo NEXT and Melanie will be at Deep Learning Indaba. You can find both of us at Strangeloop.
Wed, 29 Aug 2018 - 23min - 428 - What's new in App Engine with Steren Giannini and Stewart Reichling
Mark and Melanie are your hosts again this week as we talk with Steren Giannini and Stewart Reichling discussing what’s new with App Engine. Particularly its new second generation runtime, allowing headless Chrome, and better language support! And automatic scalability to make your life easier, too. App Engine also has an interesting way of inspiring new Google products. Tune in to learn more!
Steren GianniniSteren Giannini is a Product Manager on Google Cloud Platform (GCP). He graduated from École Centrale Lyon, France and then was CTO of a startup that created mobile and multi-device solutions. After joining Google, Steren launched Stackdriver Error Reporting and now focuses on GCP’s serverless offering. Recently, Steren has been working on upgrading App Engine’s auto scaling system and bringing Node.js to App Engine standard environment.
Stewart ReichlingStewart Reichling is a Product Manager on Google Cloud Platform (GCP). He is a graduate of Georgia Institute of Technology and has worked across Strategy, Marketing and Product Management at Google. He currently works on bringing new runtimes (Python, Node.js, +more to come!) to App Engine and Cloud Functions.
Cool things of the week Robot dance party: How we created an entire animated short at Next ‘18 blog What’s happening in BigQuery: integrated machine learning, maps, and more blog Protecting against the new “L1TF” speculative vulnerabilities blog Interview App Engine site Deploying Node.js on App Engine standard environment video Introducing headless Chrome support in Cloud Functions and App Engine blog Node 8 site Python 3.7.0 site App Engine PHP 7.2 Runtime Environment Beta site Headless Chrome site GCPPodcast Episode 23: Humble Bundle with Andy Oxfeld podcast Google Cloud Datastore site App Engine Task Queue site Ubuntu site gVisor site Open-sourcing gVisor, a sandboxed container runtime blog App Engine Documentation site gcloud app deploy site To send feedback, email stewartr@google.com or steren@google.com App Engine Google Group forum Operating Serverless Apps with Google Stackdriver video App Engine’s new auto scaling system - scheduler blog Question of the weekWhat does it mean when the recommendation is to update your image?
Getting Image Vulnerabilities site Updating Managed Instance Groups site Node Images site Where can you find us next?Melanie will be at Deep Learning Indaba and Strangeloop.
Mark will be at Pax Dev and Pax West starting August 28th. In September, he’ll be at Tokyo NEXT and Strangeloop.
Wed, 22 Aug 2018 - 27min - 427 - Agones with Mark Mandel and Cyril Tovena
Mark Mandel is in the guest seat today as Melanie and our old pal Francesc interview Cyril Tovena of Ubisoft and Mark about Agones. We discuss dedicated game servers and their importance in game performance, how Agones can make hosting and scaling dedicated game servers easier to manage, and the future of Agones. Cyril and Mark elaborate on Ubisoft’s relationship with Google and how it’s progressing the world of gaming. Listen in!
Mark MandelMark Mandel is a Developer Advocate for Games for Google Cloud Platform, founder of the open source, multiplayer dedicated game server scaling project Agones, and one half of the Google Cloud Platform Podcast. Hailing from Australia, Mark built his career developing backend systems for over 15 years, writing open source software, and building infrastructure in the cloud.
Cyril TovenaCyril Tovena is a Technical Lead for the online group for Ubisoft Montreal, helping game productions to build online features in the last four years. Cyril started his career eight years ago, building web services in London. He is currently designing and implementing scalable microservices in the cloud.
Cool things of the week Introducing App Engine Second Generation runtimes and Python 3.7 blog Cloud Functions serverless platform is generally available blog GOTO 2018 • The Robustness of Go • Francesc Campoy video Simple backup and replay of streaming events using Cloud Pub/Sub, Cloud Storage, and Cloud Dataflow blog Calling Java developers: Spring Cloud GCP 1.0 is now generally available blog Interview Agones Github site Agones on Twitter twitter Agones: Scaling Multiplayer Dedicated Game Servers with Kubernetes talk from NEXT 2018 video Ubisoft site Kubernetes site GKE site Go site dep site Agones Contributing Guide site Developing, Testing, and Building Agones site Agones Slack Channel site Agones Google Group site Question of the weekFrancesc answers our question of the week, “Should you do ML in Go?”. Short answer? Probably not. Python may be the better choice. If you do want to experiment with Go and ML, try Gonum, Gorgonia, or TensorFlow for Go.
Where can you find us next?Francesc will be at GopherCon, GoSF, and Velocity.
Melanie will be at Deep Learning Indaba and Strangeloop.
Mark will be at Pax Dev and Pax West starting August 28th. In September, he’ll be at Tokyo NEXT and Strangeloop.
Wed, 15 Aug 2018 - 30min - 426 - Accessibility in Tech with Haben Girma
On this episode of the podcast we continue a conversation we started with Haben Girma, an advocate for equal rights for people with disabilities, regarding the value of tech accessibility. Melanie and Mark talk with her about common challenges and best practices when considering accessibility in technology design and development. Bottom line - we need one solution that works for all.
Haben GirmaThe first Deafblind person to graduate from Harvard Law School, Haben Girma advocates for equal opportunities for people with disabilities. President Obama named her a White House Champion of Change, and Forbes recognized her in Forbes 30 Under 30. Haben travels the world consulting and public speaking, teaching clients the benefits of fully accessible products and services. Haben is a talented storyteller who helps people frame difference as an asset. She resisted society’s low expectations, choosing to create her own pioneering story. Because of her disability rights advocacy she has been honored by President Obama, President Clinton, and many others. Haben is also writing a memoir that will be published by Grand Central Publishing in 2019. Learn more at habengirma.com.
Cool things of the week Istio reaches 1.0: ready for prod blog Google for Nigeria: Making the internet more useful for more people blog GCPPodcast Episode 17: The Cloud In Africa with Hiren Patel and Dale Humby podcast Access Google Cloud services, right from IntelliJ IDEA blog Interview Haben Girma’s website site Haben Girma’s presentation at NEXT video GCPPodcast Episode 100: Vint Cerf: past, present, and future of the internet podcast Web Content Accessibility Guidelines (WCAG) site Android Accessibility Guidelines site Apple Developer Accessibility Guidelines site Black in AI site Google Accessibility site San Francisco Lighthouse for the Blind site National Federation of the Blind site National Association of the Deaf site Question of the weekHow do I perform large scale mutations in BigQuery? blog and site
Where can you find us next?Mark will be at Pax Dev and Pax West starting August 28th. In September, he’ll be at Tokyo NEXT.
Melanie is at Def Con, Black Hat, and BSides Las Vegas. In September, she will be at Deep Learning Indaba.
Wed, 08 Aug 2018 - 21min - 425 - Container Security with Maya Kaczorowski
Let’s talk container security! This week, Melanie and Mark learn all about the three main pillars of container security and more with our guest, Maya Kaczorowski.
Maya KaczorowskiMaya is a Product Manager in Security & Privacy at Google, focused on container security. She previously worked on encryption at rest and encryption key management. Prior to Google, she was an Engagement Manager at McKinsey & Company, working in IT security for large enterprises and before that, completed her Master’s in mathematics focusing on cryptography and game theory. She is bilingual in English and French.
Cool things of the week What a week! 105 announcements from Google Cloud Next ‘18 blog Keynotes, Keynote Fireside Chats, & Spotlight Sessions: Google Cloud Next ‘18 videos All Sessions: Google Cloud Next ‘18 videos Sign up for NEXT ‘19 updates site GKE On-Prem site Edge TPU site Interview Def Con site Black Hat site BSides Las Vegas site Cloud KMS site Kubernetes site GCPPodcast Episode 46: Borg and Kubernetes with John Wilkes podcast Large-scale cluster management at Google with Borg research Open-sourcing gVisor, a sandboxed container runtime blog Kata Containers site Nabla Containers site Google Container Registry site GKE security overview doc KubeCon site Container security blog series blog GKE hardening guide doc Seccompsandbox wiki Docker seccomp profile site Using RBAC in Kubernetes blog Terraform site Helm site Google Container Registry: Getting Image Vulnerabilities doc Container security overview site GCPPodcast Episode 110: CPU Vulnerability Security with Matt Linton and Paul Turner podcast Question of the weekHow do I setup SSL termination on Kubernetes with Let’s Encrypt?
GitHub: Tutorial for installing cert-manager to get HTTPS certificates from Let’s Encrypt site Ahmet Alp Balkan, DPE on Google Cloud Where can you find us next?Mark will be at Pax Dev and Pax West starting August 28th.
Melanie will be at the 2018 Nuclear Innovation Bootcamp at Berkeley on August 6th.
Wed, 01 Aug 2018 - 27min - 424 - Next Day 3
It’s the third and final day for us at NEXT, and Mark and Melanie are wrapping up with some great interviews! First, we spoke with Stephanie Cueto and Vivian San of Techtonica, a San Francisco non-profit. Next, Liz Fong-Jones and Nikhita Raghunath joined us for a quick discussion about open source and Stackdriver and last but not least, Robert Kubis helped us close things sharing what it means to do DevRel at this event.
Stephanie Cueto and Vivian SanStephanie Cueto is a Software Engineer and advocate for the Latinx & women community. She has been involved in the Tech community since 2016. Playing with code at an early age and working in education led to my interest in becoming a Software Engineer. Currently she is a Software Engineer Apprentice at Techtonica, where she has gained the skills to build projects in MongoDb, MySQL, Express.js, React, and Node.js. During the program, she created Salient Alert, a platform for reporting ICE Raids and Checkpoints.
Vivian San is a highly analytical full-stack software engineer with an educational background in the hard sciences. She is strongly motivated by writing clean, efficient code, and passionate about teaching and giving back to underrepresented individuals and communities.
Liz Fong-Jones and Nikhita RaghunathLiz Fong-Jones is a Staff Site Reliability Engineer at Google and works on the Google Cloud Customer Reliability Engineering team in New York. In her 10+ years at Google she has worked across eight different teams spanning the stack from Google Flights to Cloud Bigtable. She lives with her wife, Metamour, and a Samoyed/Golden Retriever mix in Brooklyn. In her spare time she plays classical piano, leads an EVE Online alliance, and advocates for transgender rights.
Nikhita Raghunath is an intern at Red Hat and works on the extensibility of Kubernetes. Previously, she was a Google Summer of Code (2017) student for the Cloud Native Computing Foundation (CNCF) and also worked on Kubernetes. She is interested in backend applications, distributed systems and Linux. Nikhita likes programming in Go, C++, C, and Python. She also likes to give talks at conferences and speak about her work.
Robert KubisRobert Kubis is a developer advocate for the Google Cloud Platform based in London, UK, specializing in container, storage, and scalable technologies. Before joining Google, Robert collected over 10 years of experience in software development and architecture. He has driven multiple full-stack application developments at SAP with a passion for distributed systems, containers, and databases. In his spare time he enjoys following tech trends, trying new restaurants, traveling, and improving his photography skills.
Interviews Made Here Together: NEXT Developer Keynote video Techtonica site I am Remarkable Workshop site Haben Girma’s accessibility presentation at NEXT video GCPPodcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcast Red Hat site Kubernetes site Introducing Agones blog Stackdriver site OpenCensus site GCPPodcast Episode 118: OpenCensus with Morgan McLean and JBD podcast Edge TPU site GCPPodcast Episode 135: VirusTotal with Emi Martínez podcast Cloud Spanner siteFri, 27 Jul 2018 - 26min - 423 - Next Day 2
Day two of NEXT was another day full of interesting interviews! Melanie and Mark sat down for quick chats with Haben Girma about accessibility in tech and Paresh Kharya to talk about NVIDIA. Next, we touched base with Amruta Gulanikar and Simon Zeltser to learn more about Windows SQL Server and .NET workloads on Google Cloud. The interviews wrap up with Henry Hsu & Isaac Wong of Holberton.
Haben GirmaThe first Deafblind person to graduate from Harvard Law School, Haben Girma advocates for equal opportunities for people with disabilities. President Obama named her a White House Champion of Change. She received the Helen Keller Achievement Award, and a spot on Forbes 30 Under 30. Haben travels the world consulting and public speaking, teaching clients the benefits of fully accessible products and services. She’s a talented storyteller who helps people frame difference as an asset. She resisted society’s low expectations, choosing to create her own pioneering story. Haben is working on a book that will be published by Hachette in 2019.
Paresh KharyaParesh Kharya is Group Product Marketing Manager for data center products at NVIDIA responsible for product marketing of NVIDIA’s Tesla accelerated computing platform. Previously, Paresh held a variety of business roles in the high-tech industry, including group product manager at Adobe and business development manager at Tech Mahindra. Paresh has an MBA from the Indian Institute of Management and a bachelors of computer science and engineering from the National Institute of Technology, India.
Amruta Gulanikar & Simon ZeltserPrior to joining Google Amruta spent 5+ years as a PM in the Office division at Microsoft working on many different products. Just before she left, she worked on launching a new service and supporting apps - “O365 Planner” which offers people a simple and visual way to organize teamwork. At Google, Amruta owns Windows on GCE which includes support for premium OS & Microsoft Server product images, platform improvements to support Windows workloads on GCE.
Simon Zeltser is a Developer Programs Engineer at Google, working with .NET and Windows on Google Cloud Platform.
Henry Hsu & Isaac WongHenry Hsu is a software engineer trained at Holberton School. He has experience with C, C++, Python, Ruby/Rails, JavaScript, HTML/CSS, MySQL/Postgres, Unity, Game Maker Studio, Linux, Photoshop, 3D Studio Max, systems design, algorithms, and devops.
Isaac Wong attends the Holberton School. He has a degree in horticulture from Texas A&M.
Interviews Edge TPU site Cloud IoT Edge site Cloud Armor site Titan Security Key site Building on our cloud security leadership to help keep businesses protected blog Google Cloud Container Registry site Haben Girma’s website site Haben Girma’s presentation at NEXT video San Francisco Lighthouse for the Blind site National Federation of the Blind site National Association of the Deaf site NVIDIA site NVIDIA and Google Cloud Platform site Google Cloud Platform Podcast Episode 119 podcast Velostrata site GKE site Google App Engine site Stackdriver Debugger site Windows on Google Cloud Platform site SQL Server on Google Cloud Platform site .NET on Google Cloud Platform site Holberton School site Unity site GKE On-Prem site TensorFlow site Where can you find us next?We’ll both be at Cloud NEXT in Moscone West on the first floor, so come by and say hi! We have chocolate!
Thu, 26 Jul 2018 - 19min - 422 - Next Day 1
On this very special episode of the Google Cloud Platform Podcast, we have live interviews from the first day of NEXT! Melanie and Mark had the chance to chat with Melody MeckFessel, VP of Engineering at Google Cloud and Pavan Srivastava of Deloitte. Next we spoke with Sandeep Dinesh about Open Service Broker and Raejeanne Skillern of Intel.
Melody MeckfesselMelody Meckfessel is a hands-on technology leader with more than 20 years experience building and maintaining large-scale distributed systems and solving problems at scale. As VP of Engineering, she leads the team building DevOps tools and sharing DevOps best practices across Google and with software development and operations teams around the world. Her team powers the world’s most advanced continuously delivered software, enabling development teams to turn ideas into reliable, scalable production systems. After graduating from UC Berkeley, Melody programmed for startups and enterprise companies. Since joining Google in 2004, Melody has led teams in Google’s core search systems, search quality and cluster management. Melody is passionate about making software development fast, scalable and fun.
Pavan SrivastavaPavan is a technology leader with 20 years of experience in developing strategies and implementation of SAP focused technology solutions. Pavan leads Deloitte’s SAP technology capability that focuses on helping clients adopt innovative technology solutions such as cloud and SAP HANA to improve business efficiencies. Pavan has led several engagements helping clients develop strategy, architecture and implement SAP on the cloud and SAP HANA platform.
Sandeep DineshSandeep Dinesh is a Developer Advocate for Google Cloud. He blends and creates new opportunities for businesses and people by leveraging the best technology possible.
Raejeanne SkillernRaejeanne Skillern is the VP of Data Center and General Manager of Intel’s cloud service provider (CSP) business. Her goal is to make it easier, more cost-effective and more efficient for CSPs to build new infrastructure and services. She is privileged to lead an exceptional team that manages Intel’s business, products and technologies for cloud infrastructure deployments and works closely with the world’s largest cloud providers to ensure Intel’s data center products are optimized for their unique needs.
Interviews Cloud AutoML site GKE On-Prem site Melody Meckfessel’s Speaking Schedule at NEXT site DevOps site Google Open Source site Cloud Build site Spinnaker site Kubernetes site Stackdriver site Application Performance Management site OpenCensus site Deloitte site SAP site Deloitte and Google Cloud blog Google Cloud Platform Service Broker site Open Service Broker site Pub/Sub site Cloud Spanner site Intel Cloud Computing site Intel Xeon site Intel Optane DC Persistent Memory site Partnering with Intel and SAP on Intel Optane DC Persistent Memory for SAP HANA blog Where can you find us next?We’ll both be at Cloud NEXT in Moscone West on the first floor! Come by and say hi!
Wed, 25 Jul 2018 - 18min - 421 - Robotics, Navigation, and Reinforcement Learning with Raia Hadsell
On this episode of the podcast, Mark and Melanie delve into the fascinating world of robotics and reinforcement learning. We discuss advances in the field, including how robots are learning to navigate new surroundings and how machine learning is helping us understand the human mind better.
Raia HadsellRaia Hadsell, a senior research scientist at DeepMind, has worked on deep learning and robotics problems for the past 15 years. After completing a PhD at New York University, which featured a self-supervised deep learning vision system for a mobile robot, her research continued at Carnegie Mellon’s Robotics Institute and SRI International, and in early 2014 she joined DeepMind in London to develop artificial general intelligence. Her current research focuses on the challenge of interactive learning for AI agents and robots, including subjects such as neural memory for real world navigation and lifelong learning.
Cool things of the week AI Adventures How to Make a Data Science Project with Kaggle site Predict your future costs with Google Cloud Billing cost forecast blog and site Kaggle Competition Winning Solutions site Google Cloud Platform Podcast Episode 84: Kaggle with Wendy Kan podcast Introducing Jib — build Java Docker images better blog Google Container Tools site Interview Raia Hadsell site Learning to Navigate Cities Without a Map research paper and blog Unsupervised Predictive Memory in a Goal-Directed Agent | MERLIN research paper Nature: Vector-based navigation using grid-like representations in AI research paper DeepMind has trained an AI to unlock the mysteries of your brain site Navigating with grid-like representations in artificial agents blog DeepMind site and blog Boston Dynamics site Google Brain Robotics site Transylvanian Machine Learning Summer School site IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures research paper Edward Mozer - Grid Cells and the Brain’s Spatial Mapping System video The Nobel Prize in Physiology or Medicine 2014 site TensorFlow site Question of the weekHow do you connect a Google Cloud Source repository to an existing Git repository? site and blog
Where can you find us next?We’ll both be at Cloud NEXT!
Mark will be talking about Agones blogMelanie will speak at PyCon Russia July 22nd
Wed, 18 Jul 2018 - 31min
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