Ilana Morris and Samir Kopal from the Well-Architected team discuss the history and benefits of AWS Well-Architected. They explore using the tool as a mechanism and highlight the latest features including the Consolidated Report, integration with Service Catalog AppRegistry, and Profiles. They also cover the importance of Well-Architected reviews, continuous improvement, and options for conducting reviews.

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

Listen to Jillian Forde, Sr. Startup Solutions Architect and Ozioma Uzoegwu, Sr. Solutions Architect discuss implementing enterprise level security on AppSync GraphQL APIs. They also talk about the launch of the most requested feature, Private APIs, and how to set APIs as private using interface VPC endpoints.

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