I’m thrilled to announce macOS support in EC2 Image Builder. This new capability allows you to create and manage machine images for your macOS workloads in addition to the existing support for Windows and Linux. A golden image is a bootable disk image, also called an Amazon Machine Image (AMI), pre-installed with the operating system and all the tools required for your workloads. In the context of a continuous integration and continuous deployment (CI/CD) pipeline, your golden image most probably contains the specific version of your operating system (macOS) and all required development tools and libraries to build and test your applications (Xcode, Fastlane, and so on.) Developing and manually managing pipelines to build macOS golden images is time-consuming and…
Category: AWS
Reposts from Amazon Web Services (AWS).
Upgraded Claude 3.5 Sonnet from Anthropic (available now), computer use (public beta), and Claude 3.5 Haiku (coming soon) in Amazon Bedrock
Four months ago, we introduced Anthropic’s Claude 3.5 in Amazon Bedrock, raising the industry bar for AI model intelligence while maintaining the speed and cost of Claude 3 Sonnet. Today, I am excited to announce three new capabilities for the Claude 3.5 model family in Amazon Bedrock: Upgraded Claude 3.5 Sonnet – You now have access to an upgraded Claude 3.5 Sonnet model that builds upon its predecessor’s strengths, offering even more intelligence at the same cost. Claude 3.5 Sonnet continues to improve its capability to solve real-world software engineering tasks and follow complex, agentic workflows. The upgraded Claude 3.5 Sonnet helps across the entire software development lifecycle, from initial design to bug fixes, maintenance, and optimizations. With these capabilities,…
AWS Weekly Roundup: Agentic workflows, Amazon Transcribe, AWS Lambda insights, and more (October 21, 2024)
Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we launched Serverless Agentic Workflows with Amazon Bedrock, a new short course developed in collaboration with Dr. Andrew Ng and DeepLearning.AI. This hands-on course, taught by my colleague Mike Chambers, teaches how to build serverless agents that can handle complex tasks without the hassle of managing infrastructure. You will learn everything you need to know about integrating tools, automating workflows, and deploying responsible agents with built-in guardrails on Amazon Web Services (AWS) with Amazon Bedrock. The hands-on labs provided with the course let you apply your knowledge directly in an AWS environment,…
Amazon Aurora PostgreSQL and Amazon DynamoDB zero-ETL integrations with Amazon Redshift now generally available
Today, I am excited to announce the general availability of Amazon Aurora PostgreSQL-Compatible Edition and Amazon DynamoDB zero-ETL integrations with Amazon Redshift. Zero-ETL integration seamlessly makes transactional or operational data available in Amazon Redshift, removing the need to build and manage complex data pipelines that perform extract, transform, and load (ETL) operations. It automates the replication of source data to Amazon Redshift, simultaneously updating source data for you to use in Amazon Redshift for analytics and machine learning (ML) capabilities to derive timely insights and respond effectively to critical, time-sensitive events. Using these new zero-ETL integrations, you can run unified analytics on your data from different applications without having to build and manage different data pipelines to write data from…