AWS Podcast

Jillian and Shruti take you though all the latest and greatest AWS news. Chapters: 00:34 Analytics; 02:20 Application Integration; 03:09 Business Applications; 03:45 Compute; 06:20 Cost Management; 08:42 Databases; 10:14 Developer Tools; 11:16 Machine Learning; 12:25 Management & Governance; 14:21 Media Services; 15:09 Networking & Content Delivery; 15:46 Security, Identity & Compliance.

Get an in-depth look at Generative AI from AWS experts. Learn about models, infrastructure needs, developing custom solutions, leveraging pre-built offerings, and responsible AI practices.

A short yet sweet set of updates with lots of "quality of life" improvements to take advantage of! Chapters: 00:27 AWS Marketplace 00:59 Analytics 01:18 Compute 03:31 Customer Engagement 04:39 Databases 06:18 Developer Tools 08:07 End User Computing 08:29 Machine Learning 10:12 Management & Governance 11:44 Networking & Content Delivery 12:41 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/660ExtendedShownotes.html

In this final episode of our 3-part energy special series, we'll discuss the AWS Clean Energy Accelerator (CEA), a program focused on driving results at the enterprise level through innovation and collaboration with mature climate tech startups.

In this episode, find out how Mobileye migrated their massive scale Spark workloads for autonomous vehicle mapping to Amazon Elastic Kubernetes Service (EKS), the challenges they overcame, the cultural shifts required, and the impressive performance gains they achieved by adopting Kubernetes.

Simon, Jillian, and Shruti take you though all the latest and greatest news! Chapters 00:36 Analytics 02:24 Application Integration 03:49 Compute 06:59 Customer Engagement 07:36 Databases 12:35 Developer Tools 13:28 End User Computing 14:18 Front End Web & Mobile 14:35 Machine Learning 20:13 Management & Governance 22:25 Migration & Transfer 23:19 Networking & Content Delivery 24:55 Security, Identity, & Compliance Shownotes: https://d29iemol7wxagg.cloudfront.net/657ExtendedShownotes.html

Explore the concept of zero-ETL, which enables organizations to unify and analyze their data in near real-time without building complex data pipelines. Learn about the evolution of zero-ETL, the business challenges it addresses, the various zero-ETL solutions available from AWS, real-world use cases, and how this approach can accelerate machine learning adoption.

In episode two of our three-part series, explore the energy industry’s data transformation. Learn how companies build specialized teams, empower people with new data skills, and foster robust data cultures to drive actionable insights.

Join Simon and Jillian for all the latest-and-greatest updates! Chapters: 00:45 AWS Marketplace 01:24 Analytics 05:41 Application Integration 07:08 Blockchain 07:50 Business Applications 07:59 Compute 10:02 Databases 11:12 Developer Tools 13:43 Front End Web & Mobile 14:15 Internet of Things 14:28 Machine Learning 15:26 Management & Governance 17:27 Media Services 18:05 Migration & Transfer 18:44 Networking & Content Delivery 19:14 Security, Identity, & Compliance Shownotes: https://d29iemol7wxagg.cloudfront.net/654ExtendedShownotes.html

Today, we present the first episode of a new three-part series devoted to the energy industry. We'll dig into the latest advancements, trends, and challenges shaping the energy landscape and discuss how AWS is supporting our customers in the current energy environment. Join us and our AWS Energy Leaders as we uncover the stories behind what is really happening in the energy industry.

Simon & Jillian cover a cool mix of updates and improvements you can use today! Chapters: 00:42 AWS Marketplace 01:21 Analytics 02:26 Application Integration 03:23 Blockchain 04:04 Compute 05:30 Customer Engagement 05:56 Databases 07:03 Machine Learning 08:05 Management & Governance 08:57 Media Services 09:41 Networking 10:01 Security, Identity, & Compliance 10:26 Solutions 11:13 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/652ExtendedShownotes.html

In this episode, we discuss AWS migration assessments using AWS Migration Evaluator. The complimentary, fast assessment compares on-premises and AWS costs and delivers a business case to justify migration. It provides data-driven analysis of compute, storage, licensing, and sustainable best practices.

Jillian takes you through all the latest AWS updates! Chapters: 00:48 AWS Marketplace; 01:25 Analytics; 03:04 Application Integration; 03:41 Compute; 08:19 Customer Engagement; 09:13 Databases; 11:39 Developer Tools; 12:41 Front End Web and Mobile; 13:28 Machine Learning; 13:55 Management & Governance; 15:44 Media Services; 15:52 Migration & Transfer; 17:07 Networking & Content Delivery; 18:48 Security, Identity, & Compliance; 19:34 Storage; 20:46 Supply Chain

In this episode, hear how S3 Express One Zone enables workloads such as machine learning training, interactive analytics, and media content creation to achieve single-digit millisecond data access speed with high durability and availability.

Jillian and Shruti take you through all the updates since re:Invent! AWS Marketplace (01:01); Analytics (01:32); Application Integration (08:04); Compute (09:33); Customer Engagement (22:45); Databases (25:37); Developer Tools (31:39); End User Computing (34:28); Front End Web and Mobile (34:51); Internet of Things (35:13); Machine Learning (36:07); Management & Governance (39:35); Media Services (48:06); Migration & Transfer (48:42); Networking & Content Delivery (49:52); Satellite (51:36); Security, Identity, & Compliance (51:52); Storage (54:22)

In this episode, we’re diving deep into Amazon Q, your generative AI–powered assistant designed for work that can be tailored to your business, recently launched at re:Invent 2023. We’ll go through Amazon Q’s main areas of expertise so you can learn about how Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company's information repositories, code, and enterprise systems. You'll hear from experts, such as product managers, on how Amazon Q can boost your workforce productivity with generative AI, transform the way you build, optimize, and operate applications and workloads on AWS, deliver customer service agents the responses, actions, and information they need to solve issues in real time, or and help BI users build, discover, and share actionable insights and narratives in seconds. Finally, we touch on how Amazon Q handles the security of your data, go through some responsible AI capabilities, and offer you tips and tricks to get the most out of Amazon Q.

Amazon RDS is a fully managed, secure, and compliant service that simplifies setup, operation, and database scaling in the cloud. Joining this episode with Simon Elisha, is Karthik Gopalakrishnan, Sr. Technical Product Manager at AWS. They'll discuss the features, benefits, and use cases of Amazon RDS for Db2.

We continue to dive deep into the recent announcements from AWS re:Invent, with the release of Amazon Neptune Analytics. Discover how Neptune Analytics helps customers find insights 80x faster by analyzing their existing Neptune graph database or graph data from a data lake such as Amazon S3. Jillian Forde is joined by Dr. Denise Gosnell (Principal Product Manager for Amazon Neptune) to learn more about Amazon Neptune Analytics. We discuss how speed is of the essence for gaining insights from large graph databases with data, such as the friendships within a social network, targeted content recommendation, fraud detection, and network threat detection then you will want to check out the new Amazon Neptune Analytics database engine.

In this episode, we’re diving deep into one of the recent announcements from AWS re:Invent, the release of Amazon ElasticCache Serverless. This new option allows customers to create a cache in under a minute and instantly scale capacity based on application traffic patterns. Jillian Forde is joined by Abhay Saxena (Principal Technical Product Manager for In-Memory databases) to learn more about ElastiCache Serverless. We talk about the benefits of caching and dive into ElastiCache Serverless features, common customer challenges, and why the team built the feature.

In our final re:Invent recap episode, Simon shares news and announcements from Dr. Werner Vogels' keynote. We’ll cover why artificial intelligence (AI) is something every builder must consider when developing systems and its tremendous impact on our world. Also, stay tuned for episodes in the next few weeks where we'll dive deep into some of our favorite re:Invent launches. Be sure to tune in!

Our re:Invent 2023 coverage continues! In this episode, Jillian Forde shares highlights from re:Invent Day 3, focusing on the profound and impactful relationship between humans, data, and AI that is unfolding right before us.

Our re:Invent 2023 coverage continues! In this episode, Jillian Forde shares highlights from Day 2 of re:Invent, including some big announcements from AWS CEO Adam Selipsky’s keynote.

It’s the most re:Invent time of the year! Simon guides you through the most exciting announcements from Peter DeSantis’ keynote, where he dives deep into the engineering that powers AWS services. PLUS Simon catches you up on 100 other announcements in just 30 minutes!!

Explore everything AWS re:Invent had to offer this November 27th through December 1st 2023! Join Simon Elisha and Jillian Forde as they share their tips to use your time efficiently and discover content that is most relevant to your interests wether you are in Las Vegas or joining remotely. Schedule your event using the session catalog found here: https://reinvent.awsevents.com/session-catalog/

Lots of interesting updates to hear about this week! Chapters: Analytics (00:45); Application Integration (04:07); Cost Management (09:05); Developer Tools (12:20); End User Computing (13:22); Font End Web & Mobile (14:03); Internet of Things (14:13); Machine Learning (14:42); Management & Governance (17:05); Migration & Transfer (19:49); Networking & Content Delivery (20:42); Security, Identity, & Compliance (21:26); Storage (22:03) https://d29iemol7wxagg.cloudfront.net/638ExtendedShownotes.html

Tune in to listen to Jillian Forde and Jake Siddall (AWS Senior Product Manager) dive deep into a new service called Amazon EC2 Capacity Blocks for ML. EC2 Capacity Blocks enable you to reserve GPU instances in Amazon EC2 UltraClusters to run ML workloads. Amazon EC2 Capacity Blocks for ML product details: https://bit.ly/3StmbR8

For time-strapped data teams looking to simplify analytics on large transactional data, Amazon Aurora's seamless integration with Amazon Redshift is a game-changer. Tune in to listen to chat with, Jyoti Aggarwal (Product Management lead for Amazon Redshift zero-ETL), Adam Levin (Principal Product Manager on the Amazon Aurora) for a new service called Amazon Aurora with Amazon Redshift Integration. Amazon Aurora with Amazon Redshift Integration is a capability that enables organizations to run analytics directly against their Amazon Aurora transactional data, without needing to manage complex ETL pipelines.

75 Updates this episode! It is an exciting ride! 00:59 AWS Marketplace 01:26 Analytics 04:48 Application Integration 06:30 Blockchain 06:56 Compute 09:22 Databases 13:07 Developer Tools 14:31 End User Computing 15:47 Internet of Things 16:37 Machine Learning 20:12 Management & Governance 21:55 Media Services 22:10 Migration & Transfer 24:50 Security, Identity, & Compliance Shownotes: https://d29iemol7wxagg.cloudfront.net/635ExtendedShownotes.html

Explore the transformative power of generative AI in businesses. In this episode, our host, Jillian Forde, is joined by Gopinath Sankaran (Vice President Strategic Cloud Ecosystems at Informatica) to discuss all things generative AI. We talk about generative AI's varied applications across functional areas like business operations and customer experience and explore the importance of a strong data foundation for generative AI. Fuel innovation with data and AI: https://go.aws/3MpV3yE

A great mix of updates this episode. Developers, data folks, video folks, lots for everyone! 00:22 Analytics 03:48 Application Integration 07:07 Compute 12:14 Customer Engagement 12:43 Database 14:42 Developer Tools 16:03 End User Computing 16:50 Front End Web & Mobile 17:40 Internet of Things 19:07 Machine Learning 22:53 Management & Governance 25:55 Media Services 26:28 Networking & Content Delivery 28:47 Security, Identity, & Compliance 30:09 Supply Chain Shownotes: https://d29iemol7wxagg.cloudfront.net/634ExtendedShownotes.html

Experience-Based Acceleration (EBA) is an AWS program to accelerate cloud journeys. Today Jillian Ford speaks with Bilal Shirazi (Principal EBA Lead North America) and Rughved Gadgil (Senior Solutions Architect) and explores the benefits of EBA to overcome barriers in your cloud projects. Whether you’re just getting started or in the middle of a migration, learn how EBA’s can achieve outcomes in days not months. Deliver your first ML use case in 8–12 weeks (blog post): https://go.aws/3Qmfzm1 Level up your Cloud Transformation with Experience-Based Acceleration (EBA) (blog post): https://bit.ly/3Qrk2nG

Simon Elisha is joined by Leif Reinert, Principal Product Manager Tech at AWS, to discuss how Amazon EC2 P5 instances with NVIDIA H100 GPUs can accelerate your ML training and HPC workloads, helping you get results faster and reduce costs. About Amazon EC2 P5 Instances: https://bit.ly/3Q0Dkie Amazon EC2 P5 Instances Powered by NVIDIA H100 Tensor Core GPUs for Accelerating Generative AI and HPC Applications (blog post): https://bit.ly/3Fp3nLc

We wish Hawn farewell on this episode as the moves to pastures new. And we share a HEAP of great updates. Chapters: 01:57 Analytics 06:51 Application Integration 08:36 Business Applications 09:20 Compute 12:18 Customer Engagement 12:46 Databases 15:53 Developer Tools 17:13 Front End Web & Mobile 18:48 Game Tech 20:00 Internet of Things 21:43 Machine Learning 26:00 Management & Governance 28:13 Migration & Transfer 31:27 Security, Identity, & Compliance Shownotes: https://d29iemol7wxagg.cloudfront.net/630ExtendedShownotes.html

Amazon EC2 M7a, C7a, and R7a instances -- powered by 4th Generation AMD EPYC processors -- deliver up to 50% higher performance compared to the previous gen. Today Hawn is joined by Sinem Gulbay, Senior Product Manager here at AWS, to dive into the benefits of these new instances, their technical specs, and when, why, and how you should leverage them.

Organizations use their data to make better decisions and build innovative experiences for their customers. With the exponential growth in data, and the rapid pace of innovation in machine learning (ML), there is a growing need to build modern data applications that are agile and scalable. In this episode, Jillian is joined by Vara Bonthu, Principal Solutions Architect, and Alex Lines, Sr. Containers Specialist, to talk through why Kubernetes is becoming a popular choice for modernizing data applications, like batch processing and ML. They also discuss how AWS's open-source project, Data on EKS, helps customers build and test common use cases, like batch processing with Apache Spark or training an ML language model, to decrease the time it takes to get to production. Data on EKS website: https://awslabs.github.io/data-on-eks/ Data on EKS GitHub repository: https://github.com/awslabs/data-on-eks Data on EKS blog: https://go.aws/46bD1b8

How you do know which data is available, where it is stored, or how to begin getting access to the best data? In this episode, Jillian is joined by Shikha Verma (Head of Product Amazon DataZone) and Amir Bar-Or (Principal Engineer, Amazon DataZone) to help you learn about a new service, Amazon DataZone, which helps you govern data access across organizational boundaries. Getting Started with Amazon DataZone (blog post): https://go.aws/3Q1SHrL YouTube playlist: https://www.youtube.com/playlist?list=PLhr1KZpdzuketYaoX3WAz5lIOCTkI3wXJ

Lots of interesting updates this week - will there be something you can use? Chapters: 00:43 AWS Marketplace 01:54 Analytics 04:07 Application Integration 06:43 Compute 11:10 Cost Management 11:40 Customer Engagement 13:33 Databases 14:42 Developer Tools 17:07 Front End Web & Mobile 18:57 Machine Learning 22:49 Management & Governance 24:23 Media Services 24:51 Networking & Content Delivery 25:30 Security, Identity, & Compliance 28:10 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/626ExtendedShownotes.html

AWS Application Composer helps teams collaborate as they build well-architected applications backed by Infrastructure-as-Code using a visual canvas. Today, Simon is joined by Ryan Coleman, Principal Product Manager at AWS, to learn how Application Composer can help developers quickly, and iteratively, build applications through the software development lifecycle. They discuss the evolution of the space, what problems led to building the service, and the interesting ways teams are using it to build highly scalable, resilient, and secure applications. Application Composer resources: https://go.aws/453VCEM

DeepLearning.AI and AWS have jointly launched “Generative AI with large language models”, a new hands-on course that prepares data scientists and engineers to become experts in selecting, training, fine-tuning, and deploying LLMs for real-world applications. Tune into this episode, with host Jillian Forde, to hear from Tommy Nelson (DeepLearning.AI) and Antje Barth (AWS) the course highlights, prerequisites, and some fun behind-the-scenes details. DeepLearning .AI website: https://bit.ly/48uGxz6

AWS AppSync is a serverless GraphQL and Pub/Sub's APIs that simplify application development through a single endpoint to securely query, update, or publish data. Tune in to listen to Hawn Nguyen-Loughren, Sr. Manager, Solutions Architect and Venugopalan Vasudevan, Sr. Specialist Solutions Architect discuss cross-team API development considerations for enterprises, introduce AWS AppSync, dive deeper into how AWS AppSync enables enterprise developer teams to consolidate APIs owned and managed by independent teams into a single, federated API exposed to clients, and how this helps setup crucial guardrails to promote team collaboration and performance at scale. Merged APIs on AWS AppSync blog: https://bit.ly/3Rvp3fU AWS AppSync Merged APIs developer guide: https://bit.ly/3RxPd1p

Simon flies the show solo to share a raft of very cool things to help you build! Chapters: 00:34 AWS Marketplace 00:58 Analytics 03:28 Application Integration 05:17 Business Applications 06:01 Compute 06:54 Cost Management 07:33 Customer Engagement 10:23 Databases 14:30 Developer Tools 15:09 End User Computing 15:33 Front End Web & Mobile 16:15 Machine Learning 20:24 Management & Governance 21:21 Media Services 21:35 Migration & Transfer 23:32 Networking & Content Delivery 24:55 Security, Identity, & Compliance 27:02 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/622ExtendedShownotes.html

AWS Cloud Governance is the set of rules, practices, and reports that ensure your cloud use meets your business requirements. Tune into this episode, with host Jillian Forde, to hear from two Cloud Governance Specialists, Al Destefano and Nivas Durairaj, on how your organization can benefit from a multi-account strategy, meet regulatory requirements at scale, leverage AWS managed controls to meet business objectives and ensure data residency requirements are met by using services like AWS Organizations, AWS Config and AWS Control Tower. AWS Control Tower website: https://bit.ly/468g8oD AWS Cloud Governance options: https://bit.ly/3rb73N3

Jillian Forde and Michael Surkan discuss how AWS Database Migration Service (DMS) is simplifying migrations with AWS DMS Serverless. Learn how AWS DMS Serverless automatically provisions, monitors, and scales migration resources to the optimal capacity needed to meet demand, so you don't have to. AWS DMS Serverless blog: https://bit.ly/3Zhln31 AWS DMS Serverless website: AWS DMS Serverless website AWS Database Migration Serverless: https://bit.ly/3ZbSqp4

Amazon Managed Service for Apache Flink makes it easy to build and run real-time streaming applications using Apache Flink. Amazon Managed Service for Apache Flink takes care of everything required to run streaming applications. There are no servers and clusters to manage, no compute and storage infrastructure to set up, and you only pay for the resources you use. You can easily setup and integrate data sources or destinations with minimal code, process data continuously with sub-second latencies, and respond to events in real-time.

Simon, Hawn, and Jillian cover the latest AWS updates. Chapters: 01:07 AWS Marketplace 01:41 Analytics 04:54 Application Integration 06:32 Compute 08:34 Database 10:33 Developer Tools 11:08 Game Tech 11:18 Machine Learning 12:58 Management & Governance 13:47 Media Services 14:19 Migration & Transfer 16:39 Networking & Content Delivery 17:52 Security, Identity, & Compliance 18:46 Startups 20:29 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/618ExtendedShownotes.html

Amazon Managed Blockchain (AMB) is a fully managed service which makes building with blockchain technology accessible and affordable for all developers. AMB' two new services, AMB Access and Query expands AMB’s capabilities to help developers build scalable applications quickly and securely. AMB Access provides a new serverless offering for non-mining, full blockchain nodes. With AMB Access, developers can instantly call standard remote procedure calls (RPCs) to interact with digital assets and distributed applications built on multiple blockchains, starting with Bitcoin, without specialized blockchain infrastructure. AMB Query delivers standardized and formatted blockchain data from multiple blockchains, starting with Bitcoin and Ethereum, which applications can consume quickly without having to perform complex data transformations or pay expensive storage costs. AMB Access and Query blog: https://bit.ly/3PrkBgR AMB Access and Query website: https://bit.ly/47MHbYp

Mountpoint for Amazon S3 is a new open source file client that you can use to mount an S3 bucket on your compute instance and access it as a local file system. In this episode, Simon is joined by Devabrat Kumar, Sr. Product Manager for Amazon S3, to discuss the launch of Mountpoint for Amazon S3 and how customer feedback has driven the evolution of this feature. Mountpoint blog: https://bit.ly/3skIddG Mountpoint website: https://bit.ly/45qWZ15 Mountpoint user guide: https://bit.ly/45qK7YV

The new AWS service, AWS Payment Cryptography simplifies cryptography operations in your cloud-hosted payment applications. Tune in to hear Mark Cline, Senior Product Manager, discuss how you can get started with AWS Payment Cryptography and simplify the exchange of encryption keys with partners and customers. Payment Cryptography website: https://bit.ly/44qG1ia AWS Payment Cryptography blog: https://go.aws/45kOeG2 AWS Payment Cryptography workshop: https://bit.ly/3QSBouk

Simon and Jillian take you on a journey of AWS discovery! Chapters: 01:01 Analytics 02:52 Application Integration 13:52 Customer Engagement 20:24 Developer Tools 23:40 Front End Web & Mobile 24:17 Game Tech 25:04 Internet of Things 29:37 Management & Governance 33:33 Network & Content Delivery 36:25 Security and Compliance 36:55 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/614ExtendedShownotes.html

In this episode, Hawn sits down with Ilana Morris and Samir Kopal from the Well-Architected team to discuss a brief history of AWS Well-Architected. They dive into how to use the AWS Well-Architected Tool as a mechanism and the latest Well-Architected features including Consolidated Report, the integration with Service Catalog AppRegistry, and Profiles. AWS Well-Architected Tool website: https://go.aws/3OQZJy3 AWS Well-Architected Tool Documentation: https://go.aws/3s61eRd AWS Well-Architected Labs: https://bit.ly/3Ovrqw6 AWS Well-Architected Partner Program: https://go.aws/47mLrO1

Learn more about the recently launched I4g AWS Nitro SSDs. AWS Nitro SSDs build on the AWS silicon innovation with the AWS Nitro System and are custom-designed to deliver the best storage performance for your I/O intensive workloads running in Amazon EC2. I4g instances offer similar memory and storage ratios to existing I4i instances and are optimized for workloads with small to medium sized datasets that perform a high mix of random read/write and require very low I/O latency, such as databases and real-time analytics. I4g instances deliver the best compute price performance for a storage optimized instance, and best storage performance per TB for a Graviton-based storage instance. Amazon EC2 I4g instances deliver up to 15% better compute performance compared to similar storage-optimized instances. Amazon l4g instances website: https://go.aws/3YxI3vr Blog: Amazon EC2 I4g storage-optimized instances: https://go.aws/3OoKbRK

AWS AppSync is a serverless GraphQL and Pub/Sub APIs that simplify application development through a single endpoint to securely query, update, or publish data. Tune in to listen to Jillian Forde, Sr. Startup Solutions Architect and Ozioma Uzoegwu, Sr. Solutions Architect talk about the functionalities we have on AppSync that can help you implement enterprise level security on your GraphQL APIs on AppSync. Recently we launched the support of Private APIs on AppSync, the most requested feature on AppSync, so listen in to also learn about this new feature and how you can get started.

Two of our hosts are in the Big Apple to share lots of big updates! 01:05 Analytics 03:06 Application Integration 04:29 Compute 10:30 Customer Engagement 10:55 Databases 13:08 Developer Tools 09:52 End User Computing 14:16 Front-End Web & Mobile 15:27 Internet of Things (IoT) 15:55 Machine Learning 18:31 Management & Governance 19:42 Media Services 20:40 Migration & Transfer 21:14 Networking & Content Delivery 22:46 Security, Identity and Compliance 23:07 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/610ExtendedShownotes.html

Is your company faced with inaccurate and fragmented data, scored across applications, channels, and data stores? Find out how AWS Entity Resolution helps you match and link related records with configurable workflows that take only minutes to set up. Tune into listen to Shobhit Gupta, Principal Product Manager, Technical, talk about how this new new service helps you easily set up matching workflows and configure advanced matching techniques, while helping you better protect your data.

Simon takes you on a tour of your GenAI options. From software development, to AI policy, to trialling FMs, to new instance types, and CPUs. Referenced Links: - URL: https://aws.amazon.com/blogs/devops/optimize-software-development-with-amazon-codewhisperer/ Title: Optimize software development with Amazon CodeWhisperer | AWS DevOps Blog - URL: https://aws.amazon.com/blogs/devops/10-ways-to-build-applications-faster-with-amazon-codewhisperer/ Title: 10 ways to build applications faster with Amazon CodeWhisperer | AWS DevOps Blog - URL: https://aws.amazon.com/blogs/big-data/build-data-integration-jobs-with-ai-companion-on-aws-glue-studio-notebook-powered-by-amazon-codewhisperer/ Title: Build data integration jobs with AI companion on AWS Glue Studio Notebook powered by Amazon CodeWhisperer - URL: https://aws.amazon.com/blogs/machine-learning/use-generative-ai-foundation-models-in-vpc-mode-with-no-internet-connectivity-using-amazon-sagemaker-jumpstart/ Title: Use generative AI foundation models in VPC mode with no internet connectivity using Amazon SageMaker JumpStart | AWS Machine Learning Blog - URL: https://aws.amazon.com/blogs/machine-learning/llama-2-foundation-models-from-meta-are-now-available-in-amazon-sagemaker-jumpstart/ Title: Llama 2 foundation models from Meta are now available in Amazon SageMaker JumpStart | AWS Machine Learning Blog - URL: https://aws.amazon.com/blogs/machine-learning/use-stable-diffusion-xl-with-amazon-sagemaker-jumpstart-in-amazon-sagemaker-studio/ Title: Use Stable Diffusion XL with Amazon SageMaker JumpStart in Amazon SageMaker Studio | AWS Machine Learning Blog - URL: https://aws.amazon.com/blogs/machine-learning/efficiently-train-tune-and-deploy-custom-ensembles-using-amazon-sagemaker/ Title: Efficiently train, tune, and deploy custom ensembles using Amazon SageMaker | AWS Machine Learning Blog - URL: https://aws.amazon.com/blogs/machine-learning/quickly-build-high-accuracy-generative-ai-applications-on-enterprise-data-using-amazon-kendra-langchain-and-large-language-models/ Title: Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models | AWS Machine Learning Blog - URL: https://aws.amazon.com/bedrock/features/ Title: Foundation Model API Service – Amazon Bedrock Features – AWS - URL: https://aws.amazon.com/blogs/aws/preview-enable-foundation-models-to-complete-tasks-with-agents-for-amazon-bedrock/ Title: Preview – Enable Foundation Models to Complete Tasks With Agents for Amazon Bedrock | AWS News Blog - URL: https://aws.amazon.com/blogs/business-intelligence/announcing-generative-bi-capabilities-in-amazon-quicksight/ Title: Announcing Generative BI capabilities in Amazon QuickSight | AWS Business Intelligence Blog - URL: https://aws.amazon.com/about-aws/whats-new/2023/05/amazon-rds-postgresql-pgvector-ml-model-integration/ Title: Amazon RDS for PostgreSQL now supports pgvector for simplified ML model integration - URL: https://aws.amazon.com/blogs/big-data/introducing-the-vector-engine-for-amazon-opensearch-serverless-now-in-preview/ Title: Introducing the vector engine for Amazon OpenSearch Serverless, now in preview | AWS Big Data Blog - URL: https://aws.amazon.com/blogs/aws/new-amazon-ec2-p5-instances-powered-by-nvidia-h100-tensor-core-gpus-for-accelerating-generative-ai-and-hpc-applications/ Title: New – Amazon EC2 P5 Instances Powered by NVIDIA H100 Tensor Core GPUs for Accelerating Generative AI and HPC Applications | AWS News Blog - URL: https://aws.amazon.com/blogs/machine-learning/maximize-stable-diffusion-performance-and-lower-inference-costs-with-aws-inferentia2/ Title: Maximize Stable Diffusion performance and lower inference costs with AWS Inferentia2 | AWS Machine Learning Blog - URL: https://aws.amazon.com/blogs/machine-learning/new-technical-deep-dive-course-generative-ai-foundations-on-aws/ Title: New technical deep dive course: Generative AI Foundations on AWS | AWS Machine Learning Blog - URL: https://aws.amazon.com/blogs/machine-learning/aws-offers-new-artificial-intelligence-machine-learning-and-generative-ai-guides-to-plan-your-ai-strategy/ Title: AWS offers new artificial intelligence, machine learning, and generative AI guides to plan your AI strategy | AWS Machine Learning Blog - URL: https://aws.amazon.com/blogs/machine-learning/aws-reaffirms-its-commitment-to-responsible-generative-ai/ Title: AWS Reaffirms its Commitment to Responsible Generative AI | AWS Machine Learning Blog

Permissions management is the undifferentiated heavy lifting of application development. Amazon Verified Permissions decouples authorization from application logic saving developers time and resources. Developers can reuse centralized policies as well as define and manage policies for their applications to accelerate time-to-market. Security and audit teams can better analyze and audit who has access to what using Verified Permissions. In this episode, Jillian is joined by Abhi Panday, Product Manager at AWS, to discuss how developers and security teams are using the service to build fine-grained authorization within their applications. Amazon Verified Permissions Blog: https://go.aws/3YduS2W Amazon Verified Permissions website: https://bit.ly/3O96j2n Amazon Verified Permissions resources: https://go.aws/3OvXtgx

It is sharp, informative, and fun! Simon, Hawn, and Jillian take you through all the latest AWS updates! Chapters: 00:47 AWS Marketplace 02:03 Analytics 03:57 Application Integration 04:00 Business Applications 05:26 Compute 06:47 Customer Engagement 07:30 Databases 08:57 Developer Tools 09:45 End User Computing 10:52 Front-End Web & Mobile 11:42 GameTech 12:17 Internet of Things (IoT) 12:27 Machine Learning 16:21 Management & Governance 17:42 Media Services 17:53 Migration & Transfer 19:26 Networking & Content Delivery 19:51 Security, Identity and Compliance 20:47 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/606ExtendedShownotes.html AWS Podcast Audio Feedback: https://bit.ly/3mDc3Y1

How to get the best price performance in Amazon EC2 for the most demanding machine learning training workloads? Tune in to learn how AWS Trainium-based Amazon EC2 Trn1n instances can help you train your network-intensive generative AI models at scale. Amazon EC2 Trn1n instances double the bandwidth offered by Trn1 instances to 1600 Gbps of EFA and deliver up to 20% faster time-to-train than Trn1 instances. Both Trn1 and Trn1n instances deliver up to 50% savings on training costs over comparable Amazon EC2 instances. Tune in to learn more about this new launch that helps you increase performance, reduce costs, and also improve energy efficiency when training your large-scale ML models. Trn1 Website: https://go.aws/44v90ST AWS Neuron Website: https://bit.ly/46SLyjX AWS Trainium Website: https://bit.ly/3DqiCSM AWS Inferentia Website: https://go.aws/44ymLA9

AWS Glue for Ray makes it easier to scale Python code to process large scale data in AWS Glue. Learn how you can unlock Python at scale for data integration workloads of all sizes, and simplify and streamline your ability to use Ray, a new open source framework for distributing Python across clusters. AWS Glue website: https://go.aws/3pLUTtp AWS Glue Data Integration Engines: https://go.aws/3JYfiSP Blog: AWS Glue for Ray: https://go.aws/43piC04

Silicon chips are the foundation of modern computing. AWS custom-designs its silicon chips to be more efficient and sustainable, which helps you maximize performance and save money. On June 21, 2023 AWS hosted our first Silicon Innovation Day with 20 different deep dives into how these innovations can improve your workflows, impact your business, and power your networking developments. Learn more about everything that was discussed in our roundup podcast and the videos on demand linked in our show notes! All sessions are available here: https://www.youtube.com/@AWSEventsChannel & https://www.youtube.com/playlist?list=PL2yQDdvlhXf9i-4AsyOdlgVFDpBjgwNYw Learn more about Graviton: https://go.aws/42MJ4Ao Learn more about Inferentia: https://go.aws/3N7pM2M Learn more about Trainium: https://go.aws/3N7q0qE Learn more about Nitro: https://go.aws/3CDpCM2

Simon, Hawn, and Jillian take you through over 80 updates!!! Chapters: 01:03 Analytics 03:35 Application Integration 05:22 Compute 10:56 Customer Engagement 11:47 Databases 13:55 Developer Tools 15:38 Front-End Web & Mobile 16:41 Machine Learning 17:15 Management & Governance 21:07 Media Services 21:20 Migration & Transfer 22:32 Networking & Content Delivery 22:56 Partners 24:37 Security, Identity and Compliance 30:26 Storage 32:29 Closing Shownotes: https://d29iemol7wxagg.cloudfront.net/602ExtendedShownotes.html AWS Podcast Audio Feedback: https://bit.ly/3mDc3Y1

Responsible for secure access to your corporate applications? Hear from Product Management Lead Shovan Das as he discusses a new simplified and secure remote connectivity option on AWS. Built on Zero Trust guiding principles, AWS Verified Access is a service that can be used to validate every application request before granting access. Verified Access removes the need for a VPN, which simplifies the remote connectivity experience for end users and reduces the management complexity for IT administrators. Learn more by visiting the AWS Verified Access website: https://go.aws/3XCKlZO Please take two minutes to fill out our survey regarding all the changes to the Official AWS Podcast: https://bit.ly/43hJmzs

Amazon SageMaker Multi-Model Endpoint (MME) is fully managed capability of SageMaker Inference that allows customers to deploy thousands of models on a single endpoint and save costs by sharing instances on which the endpoints run across all the models. Until recently, MME was only supported for machine learning (ML) models which run on CPU instances. Now, customers can use MME to deploy thousands of ML models on GPU based instances as well, and potentially save costs by 90%. MME dynamically loads and unloads models from GPU memory based on incoming traffic to the endpoint. Customers save cost with MME as the GPU instances are shared by thousands of models. Customers can run ML models from multiple ML frameworks including PyTorch, TensorFlow, XGBoost, and ONNX. Customers can get started by using the NVIDIA Triton™ Inference Server and deploy models on SageMaker’s GPU instances in “multi-model“ mode. Once the MME is created, customers specify the ML model from which they want to obtain inference while invoking the endpoint. Multi Model Endpoints for GPU is available in all AWS regions where Amazon SageMaker is available. To learn more checkout: Our launch blog: https://go.aws/3NwtJyh Amazon SageMaker website: https://go.aws/44uCdNr

How can you build designs faster and predict the weather more efficiently? How can you can carry out complex calculations across HPC clusters using up to tens of thousands of cores with high performance and lower costs? In this podcast, Heidi Poxon, Principal HPC Technologist, talks about using high performance computing (HPC) for a range of use cases from building designs for aircraft and race cars to climate modeling. You’ll learn about newly launched Amazon Elastic Compute Cloud (Amazon EC2) Hpc7g instances, powered by AWS Graviton processors, which are custom Arm-based processors designed by Amazon Web Services (AWS). With these instances you can scale your HPC clusters to run compute-intensive workloads such as Computational Fluid Dynamics (CFD), weather forecasting, and molecular dynamics. Amazon EC2 Hpc7g Instances website: https://go.aws/3NPhFtk Amazon EC2 Hpc7g Instances Blog: https://go.aws/3raBXVc

A rapid-fire set up updates with a few Deep Dives for good measure! Chapters: 01:18 AWS Marketplace 01:38 Analytics 03:44 Application Integration 04:28 Compute 05:45 Databases 06:45 Internet of Things (IoT) 06:59 Machine Learning 08:13 Management & Governance 10:50 Media Services 12:19 Migration & Transfer 13:45 Security, Identity and Compliance Shownotes: https://d29iemol7wxagg.cloudfront.net/598ExtendedShownotes.html AWS Podcast Audio Feedback: https://bit.ly/3mDc3Y1

Amazon Connect provides a unified agent workspace that is easy and less stressful for new agents to learn and gives experienced agents all of the tools they need to continuously improve their customer experience. In this podcast episode, learn how you can create step-by-step guides that recommend and display next best actions for agents to resolve customer issues faster. Learn more about Amazon Connect: https://go.aws/3CGXqHT and Amazon Connect Agent Workspace here: https://bit.ly/3qZPYVG

Silicon chips are the foundation of modern computing. AWS custom-designs its silicon chips to be more efficient and sustainable, which helps you maximize performance and save money. To learn how AWS custom-designed silicon chips can help your business, tune in to AWS Silicon Innovation Day on June 21, at 9 a.m. Pacific Time at twitch.tv/awsonair or LinkedIn. Register at Splash That: https://bit.ly/3PkzMZd Learn more about Graviton: https://go.aws/42MJ4Ao Learn more about Inferentia: https://go.aws/3N7pM2M Learn more about Trainium: https://go.aws/3N7q0qE Learn more about Nitro: https://go.aws/3CDpCM2

Amazon Security Lake is a new service that centralizes security data from AWS environments, SaaS providers, on premises, and cloud sources into a purpose-built data lake stored in the customer’s account. With Security Lake, customers can gain a more complete understanding of security data across their entire organization. In this episode, Himanshu Verma, Worldwide Specialist for AWS Security Services, joins Julian Ford to discuss the customer problems that Amazon Security Lake solves and provide guidance on getting started with Security Lake. Amazon Security Lake website: https://go.aws/3JipANj Blog: Amazon Security Lake is now generally available: https://go.aws/440F0xE Blog: Amazon Security Lake and Azure activity logs: https://go.aws/3XektmT

Simon, Hawn, and Jillian cover all the updates you need to know about! Chapters: 00:52 AWS Marketplace 01:21 Analytics 03:23 Application Integration 05:38 Compute 07:06 Customer Engagement 10:27 Databases 15:42 Developer Tools 17:03 Front-End Web & Mobile 18:46 GameTech 19:29 Machine Learning 23:32 Management & Governance 26:34 Media Services 27:43 Migration & Transfer 29:40 Networking & Content Delivery 32:34 Security, Identity and Compliance 35:11 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/594ExtendedShownotes.html AWS Podcast Audio Feedback: https://bit.ly/3mDc3Y1

Hundreds of thousands of customers build data lakes everyday and these data lakes can quickly become data swamps if they dont pay attention to the data quality. Setting up data quality can be a time-consuming, tedious process. Shiv Narayanan, Product Manager for AWS Glue chats with (Name) about the launch of AWS Glue Data Quality. AWS Glue Data Quality Quality builds confidence in your data by ensuring high data quality. It automatically measures, monitors, and manages data quality in your data lakes and data pipelines, so it’s easy to identify missing, stale, or bad data. Take the steps to make your data lake crystal clear. Whats New: AWS Glue Data Quality: https://go.aws/3IWPXIw AWS Glue Data Quality: https://go.aws/3MUrk07 Blog: AWS Glue Data Quality: https://go.aws/42nq6jG

Speed matters when processing large data sets. Media & entertainment (rendering and transcoding), healthcare & life sciences (genomics and microscopy), and other compute intensive workloads use cloud bursting to augment internal compute resources with the goal of completing projects faster. Amazon File Cache is a recently introduced high speed cache which brings the power and scale of AWS to your on-premises workloads. Tune in to Jordan Dolman, Sr. Product Manager to learn how Amazon File Cache enables you to complete your projects faster and optimize compute resources. Getting started with Amazon File Cache: https://go.aws/3qsVakB

The first AWS data insights Day covered everything you know and love about cloud analytics and data warehousing. AWS data experts and customers shared about the evolution of Amazon Redshift, best practices of using this product, how they are getting to insights cost effectively, securely, and much more. Join Sunaina Abdul Salah and your host Hawn Loughren-Nguyen on some of the key highlights and takeaways.

Simon, Hawn, and Jillian cover over 60 updates in just 20 minutes - is there something in it for you? Chapters: 01:10 AWS Marketplace 01:24 Analytics 03:32 Application Integration 05:26 Compute 06:45 Customer Engagement 07:32 Databases 08:51 Developer Tools 09:42 Internet of Things (IoT) 10:56 Machine Learning 13:04 Management & Governance 15:16 Media Services 16:02 Networking & Content Delivery 18:02 Security, Identity and Compliance 20:46 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/590ExtendedShownotes.html AWS Podcast Audio Feedback: https://bit.ly/3mDc3Y1

In this episode, Simon is joined by members of the AWS Private Certificate Authority (AWS Private CA) service team, GM Todd Cignetti and Principal Software Engineer Param Sharma, to discuss how the service has evolved since the 2018 launch. AWS Private CA is a managed private certificate authority (CA) service that you can use to create CA hierarchies and issue private X.509 certificates. Learn about how to design CA hierarchies to scale for long-term PKI needs, Kubernetes connectors, and the latest feature, short-lived certificate mode. AWS Private CA: https://bit.ly/45tt4G4 Read the short-lived certificate mode blog: https://bit.ly/45xTWVl Learn about AWS post-quantum investments: https://bit.ly/3WtYg45

Discover the power of Amazon Redshift, AWS's Petabyte-scale data warehouse, in our podcast "Data Insights Unleashed." Redshift's scalability, thanks to its Massively Parallel Processing (MPP) architecture, effortlessly handles high data influxes and accommodates varying user demands while ensuring consistent, high-performance experiences at a cost-effective scale. Today Simon is joined by Brandon Draeger, Director of Product Marketing here at AWS, to unravel the potential of Amazon Redshift and revolutionize your data-driven decision-making. Redshift Innovation Day Registration: https://bit.ly/3IsVNkm Get Started with Redshift: https://go.aws/3Wn7Nde Redshift website: https://go.aws/3MjOBbx

It is a jam-packed update show! Chapters: 00:24 Analytics 06:17 Application Integration 06:42 Business Applications 06:51 Compute 09:04 Customer Engagement 10:05 Databases 10:35 Developer Tools 12:31 Front-End Web & Mobile 14:32 Internet of Things (IoT) 15:51 Machine Learning 18:04 Management & Governance 20:35 Media Services 21:19 Migration & Transfer 22:23 Security, Identity and Compliance 27:21 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/587ExtendedShownotes.html

While application modernization continues to be a top priority for organizations, building modern applications with serverless technologies can still seem like a significant lift for some developers who are unsure how to get started. In this episode, Simon is joined by Eric Johnson (Principal Developer Advocate) to talk about the upcoming AWS Serverless Innovation Day, a virtual “builders show builders how to build” event, which will cover serverless strategy, serverless demos on machine learning and generative AI and event-driven architecture, insights from AWS serverless leaders and customers, and best practices using AWS serverless technology choices, including AWS Lambda, Amazon ECS with AWS Fargate, Amazon EventBridge, AWS Step Functions and more.

The city of the future is “smart.” This episode is a deep-dive into practical step-by-step insights and global trends on building smart city solutions in the cloud. Discover how AWS Partners with verified smart city capabilities are driving innovative, inclusive, and sustainable cities around the world through the AWS Smart City Competency Program. Hear from launch partners Arq Group and Vianova as they share their expertise and experiences in accelerating smart city innovations around the world.

Amazon CodeCatalyst is a unified software development service that makes it easier for you to build and deliver applications on AWS. Now generally available, CodeCatalyst provides everything you need to start planning, coding, building, testing, and deploying applications on AWS with a streamlined, integrated experience. Hear from DevOps Services GM Harry Mower about what led to the creation of CodeCatalyst, how it helps developers, and what's coming next in 2023. Amazon CodeCatalyst - https://bit.ly/418Azig Read the announcement - https://go.aws/41dm8JM Read about CodeCatalyst - https://go.aws/41aWmWK Read the documentation - https://go.aws/3HITtWm Smart Business Day: https://go.aws/3Ly6y5Q

AWS Inferentia2-based Amazon EC2 Inf2 instances can help you deploy your 100B+ parameter generative AI models at scale. Inf2 instances deliver up to 40% better price performance than comparable Amazon EC2 instances. Tune in to learn more about this new launch that helps you increase performance, reduce costs, and also improve energy efficiency when deploying your ML applications. Inf2 PDP https://go.aws/44oez5T Neuron documentation https://bit.ly/44oLmrz AWS Inferentia https://go.aws/3NAyhFr AWS Trainium https://go.aws/3nkivnH

So many great updates - which one will spark your imagination? Chapters: 01:18 Analytics 02:47 Application Integration 03:53 Business Applications 04:42 Compute 10:33 Cost Management 10:57 Customer Engagement 12:36 Databases 15:15 Developer Tools 18:19 End User Computing 18:45 Front-End Web & Mobile 19:42 GameTech 20:05 Internet of Things (IoT) 20:29 Machine Learning 21:52 Management & Governance 23:01 Media Services 23:43 Migration & Transfer 24:09 Networking & Content Delivery 24:19 Satellites 24:55 Security, Identity and Compliance 26:52 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/583ExtendedShownotes.html

Amazon CodeWhisperer enables software developers to get real-time code recommendations in their IDE based on their (English) comments describing the task at hand, and their current coding context. With CodeWhisperer, developers can simply write a natural language comment that outlines a specific task such as “get new files uploaded in the last 24 hours from the S3 bucket” and CodeWhisperer automatically determines which cloud services and public libraries are best suited for the specified task and generates the code for the developer. CodeWhisperer is especially well suited to helping developers generate code that simplifies consumption of AWS services (e.g., Amazon EC2 or Amazon S3), making it the best coding assistant for if you are developing for AWS. Amazon CodeWhisperer https://go.aws/41K0Wwl

Three hosts to take you through all the updates this week! Chapters: 01:18 Analytics 04:52 Application Integration 06:19 Business Applications 07:09 Compute 10:37 Cost Management 12:55 Customer Engagement 15:23 Database 18:16 Developer Tools 19:45 End User Compute 20:56 Game Tech 21:50 Internet of Things 23:30 Machine Learning 25:38 Management & Governance 31:01 Media Services 31:54 Migration & Transfer 32:57 Networking & Content Delivery 38:31 Security, Identity and Compliance 40:01 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/586ExtendedShownotes.html AWS Podcast Audio Feedback: https://bit.ly/3mDc3Y1

Simplify service-to-service connectivity, security, and monitoring with Amazon VPC Lattice. In this podcast, we discuss how you can use Amazon VPC Lattice to facilitate cross-account and cross-VPC connectivity, as well as application layer load balancing for your workloads. Regardless of whether the underlying compute types are instances, containers, or serverless, using Amazon VPC Lattice, developers can work with native integration on the compute platform of their choice. Learn more: https://go.aws/418vOWf

Some very cool updates this week - is there something you can use today? Chapters: 00:50 Analytics 08:23 Application Integration 08:41 Business Applications 09:25 Compute 11:39 Customer Engagement 13:52 Database 19:31 Developer Tools 20:49 Front-End Web and Mobile 22:05 Game Tech 23:23 Machine Learning 26:50 Management & Governance 30:04 Media Services 31:34 Migration & Transfer 33:53 Networking & Content Delivery 35:49 Security, Identity and Compliance 36:55 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/579ExtendedShownotes.html AWS Podcast Audio Feedback: https://bit.ly/3mDc3Y1

Are you interested in collaborating with your business partners on your collective datasets to generate unique insights about advertising campaigns, investment decisions, and research and development? Tune in to listen to Jillian Forde talk with Ankur Agarwal, Head of Product Management for AWS Clean Rooms, a service which recently launched for General Availability. AWS Clean Rooms helps companies and their partners, more easily and securely, analyze and collaborate on their collective datasets–without sharing or copying each other’s underlying data.

Simon and Hawn share a raft of interesting and useful updates! Take The Official AWS Podcast audience survey through 4/11/2023: https://bit.ly/3G9hrK4 Chapters: 00:56 AWS Marketplace 01:43 Analytics 04:33 Blockchain 05:14 Compute 09:52 Database 15:37 Developer Tools 16:48 Internet of Things (IoT) 17:56 Machine Learning 20:26 Management & Governance 26:41 Media Services 27:19 Migration & Transfer 27:51 Networking & Content Delivery 28:35 Security, Identity and Compliance Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/576ExtendedShownotes.html

When should you start caring about data security? Today. Evervault’s mission is to encrypt the web. Hear from Shane Curran, CEO of Evervault, on why he’s dedicating his career to making encryption incredibly easy for all software developers. In this episode, Shane introduces Evervault’s newest product, Cages. Built on AWS Nitro enclaves, Cages are the easiest way to build, deploy and scale Secure Enclaves, allowing you to go from a Dockerfile to a trusted execution environment in less than 15 minutes. AWS Nitro Enclaves: https://go.aws/3J9S6zx Cages - Secure Enclaves: https://bit.ly/3mIP8e0 AWS Podcast Audio Feedback: https://bit.ly/3mDc3Y1

Lots of new goodies, and slightly more detail for each update. Tell us what you think! awspodcast@amazon.com. Chapters: 00:51 Analytics 03:07 Application Integration 05:31 Business Applications 05:56 Compute 11:13 Customer Engagement 12:22 Databases 16:15 Developer Tools 18:05 End User Computing 18:52 GameTech 20:21 Internet of Things (IoT) 20:51 Machine Learning 23:12 Management & Governance 29:26 Media Services 31:49 Networking & Content Delivery 33:14 Security, Identity and Compliance Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/574ExtendedShownotes.html

Telecom network builders and enthusiasts, this episode is for you. Tune in to hear Salil Sawhney, Senior Manager of Product Management, discuss how AWS Telco Network Builder (TNB) helps communications service providers (CSPs) deploy and manage telco networks on AWS. Listen to learn about AWS' first purpose-built service for the telecom industry and how CSPs can use it to accelerate the deployment of cloud-based infrastructure and services while still using their familiar telecom industry standards. Blog https://go.aws/3IwFMJH PDP https://go.aws/3Zge7TS Video https://bit.ly/3IsWKZh

Continuing the new shorter format! Shorter, easier to listen to - but still covering all the updates that have been happening! Plus a new host joins the team! Chapters: 00:27 Welcoming new Co-Host 16:02 Analytics 17:29 Application Integration 18:38 Business Applications 18:50 Compute 22:40 Customer Engagement 22:49 Database 24:38 Developer Tools 24:47 Internet of Things (IoT) 24:59 Machine Learning 26:34 Management & Governance 31:26 Media Services 32:09 Networking & Content Delivery 34:26 Security, Identity and Compliance 35:14 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/572ExtendedShownotes.html

AWS Data Lab helps customers shave months off of their development timelines by providing an engagement that pairs their teams of builders with dedicated AWS technical resources - helping them make architectural decisions faster, remove technical roadblocks, build with confidence, and build fast! In this episode, Angie Gould (Manager of Product Management) and Hunter Carlisle (Manager of Solutions Architecture) join Simon to talk about how the AWS Data Lab is helping customers across the globe build solutions on AWS. They dive into common projects that customers work on in the lab, how customers are using machine learning in industries like sports and finance, what to expect, and how to get started. Learn more about AWS Data Lab: https://go.aws/3HTavQM

This week there is a NEW format to the update show! Shorter, easier to listen to - but still covering all the updates that have been happening! Chapters: 01:41 Infrastructure 01:53 Analytics 03:57 Business Applications 04:13 Compute 05:26 Deep Dive - "AWS Nitro Enclave" 07:42 Cost Management 07:54 Customer Engagement 08:03 Databases 09:12 Developer Tools 10:11 Machine Learning 11:35 Management & Governance 12:34 Networking & Content Delivery 13:58 Security, Identity and Compliance 14:15 Storage 15:31 Closing Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/570ExtendedShownotes.html

Amazon EKS Anywhere is a deployment option for Amazon EKS that allows customers to create and operate Kubernetes clusters on customer-managed infrastructure, supported by AWS. With support for bare metal deployments on Amazon EKS Anywhere, customers now have a broader choice of infrastructure for running Kubernetes on-premises. As customers modernize their applications, they want to use Kubernetes consistently between their existing on-premises bare metal infrastructure and the cloud. Running Kubernetes on bare metal infrastructure is complex, and customers spend time, effort and money on infrastructure operations instead of focusing on business innovation. In this podcast, you will learn how Amazon EKS Anywhere on bare metal enables customers to automate all steps - from bare metal hardware provisioning to Kubernetes cluster operations - using a bundled open source toolset built on the foundation of Tinkerbell and Cluster API. Get Started with Bare Metal: https://bit.ly/3XJR5UX Connect with an Amazon EKS Anywhere Specialist today: https://go.aws/408S8zt Learn more about EKS Anywhere: https://go.aws/407ds8w

Welcome to 2023 with lots of updates shared by Simon & Hawn! Please take 2-3 minutes to fill out a survey letting us know how we can improve the AWS Podcast for you! You can fill out the survey here: https://bit.ly/3G9hrK4 through 4/11/2023! Chapters: 00:53 Analytics 02:03 Compute 08:10 Customer Engagement 13:47 Database 17:07 Front-End Web & Mobile 17:42 Internet of Things (IoT) 19:55 Machine Learning 24:33 Management & Governance 32:08 Migration & Transfer 33:37 Networking & Content Delivery 36:14 Security, Identity and Compliance 38:18 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/568ExtendedShownotes.html

Learn about the newly released AWS Lambda SnapStart for Java, delivering up to 10x faster function startup performance. SnapStart is a performance optimization feature that initializes your function ahead of time and caches a snapshot of its execution environment. When your function is then invoked - or scales up - AWS Lambda resumes execution from that snapshot, instead of initializing your function from scratch, significantly improving cold starts. You can enable SnapStart for new or existing Java-based serverless applications such as financial computations, machine learning inference, synchronous APIs, or data processing. Learn more here: AWS Lambda SnapStart announcement: https://go.aws/3w1QqC5 AWS Lambda SnapStart documentation: https://go.aws/3IIYcbN AWS Lambda: https://go.aws/3H1Z4Xx

In this episode, Simon sits down in the studio with Chris Lalonde, Wickr’s Director of Software Development; Vaibhav Agarwal, Wickr's Senior Product Manager; and Laura Clark, Wickr's Marketing Manager. The four have an informative chat about the end-to-end-encryption and data retention benefits of AWS Wickr. They also share some use cases of how enterprise and public sector customers are using Wickr as their secure communications service.

In this episode, Simon is joined by Shrey Luthra and Jacob Sullivan, Product Managers for Amazon RDS and Amazon DevOps Guru, to talk about a new capability through which customers can detect and diagnose performance issues for their Amazon RDS databases and get recommendations on how to fix them. For more information: https://go.aws/3I2HVhx

Amazon Athena for Apache Spark enables you to run Apache Spark interactive analytics quicker than ever before, without the need to plan for, configure, and manage resources. In this episode, Raj Devnath (Sr. Product Manager) and Anthony Virtuoso (Sr. Principal Engineer) join Simon to talk about this new launch that allows you to combine the ease of use, fast performance and on-demand availability of Athena with Spark’s expressive programing model to ask more sophisticated questions of your data. Amazon Athena for Apache Spark: https://go.aws/3FP7LCG Read the blog: https://go.aws/3HSLk2a What’s new: https://amzn.to/3WeOFwN See our page here: https://go.aws/3Gd1B0V