In this post, I’ll show you how to migrate your containerized applications from AWS App Runner to Amazon ECS Express Mode using a blue/green deployment strategy. This approach helps to eliminate downtime during the migration, allowing you to shift traffic gradually and roll back if needed. You’ll learn how to set up ECS Express Mode and configure custom domain.

Run Lambda functions on EC2 compute while maintaining serverless simplicity—enabling access to specialized hardware and cost optimizations through EC2 pricing models, with AWS handling all infrastructure management.

The 2025 Developer Survey is the definitive report on the state of software development. In its fifteenth year, Stack Overflow received over 49,000+ responses from 177 countries across 62 questions fo...

Today, AWS announces the release of the Model Context Protocol (MCP) server for AWS Price List, now available in the AWS Labs GitHub repository. The MCP server provides AI agents with real-time access to AWS product data, availability information and pricing details, including on-demand, reserved, and savings plans. With this launch, you can leverage AI assistants, including Amazon Q Developer CLI, and Claude Desktop, to retrieve AWS product and pricing information, compare pricing options across regions, and make data-driven decisions about AWS service selections - all through natural language conversations. You can download and integrate the open-source server with your preferred MCP-compatible AI assistant. The server connects securely to the AWS Price List using standard AWS credentials with minimal configuration required. To get started, visit the AWS Labs GitHub repository.

The next generation of Anthropic's Claude models, Claude Opus 4 and Claude Sonnet 4, are now available in Amazon Bedrock, representing significant advancements in AI capabilities. These models excel at coding, enable AI agents to analyze thousands of data sources, execute long-running tasks, write high-quality content, and perform complex actions. Both Opus 4 and Sonnet 4 are hybrid reasoning models offering two modes: near-instant responses and extended thinking for deeper reasoning. Claude Opus 4: Opus 4 is Anthropic’s most powerful Claude model to date and Anthropic’s benchmarks show it is the best coding model available, excelling at autonomously managing complex, multi-step tasks with accuracy. It can independently break down abstract projects, plan architectures, and maintain high code quality throughout extended tasks. Opus 4 is ideal for powering agentic AI applications that require uncompromising intelligence for orchestrating cross-functional enterprise workflows or handling a major code migration for a large codebase. Claude Sonnet 4: Sonnet 4 is a midsize model designed for high-volume use cases and can function effectively as a task-specific sub-agent within broader AI systems. It efficiently handles specific tasks like code generation, search, data analysis, and content synthesis, making it well suited for production AI applications requiring a balance of quality, costeffectiveness, and responsiveness. You can now use both Claude 4 models in Amazon Bedrock. To get started, visit the Amazon Bedrock console. Integrate it into your applications using the Amazon Bedrock API or SDK. For more information including region availability, see the AWS News Blog, Anthropic's Claude in Amazon Bedrock product page, and the Amazon Bedrock pricing page.

Startups Need to Take Security Seriously

Today we’re very excited to announce the open-source release of the Windows Subsystem for Linux. This is the result of a multiyear effort to prepare for this, and a great closure to the first ever iss...

Romania’s pro-European Union presidential candidate Nicușor Dan won the country’s presidential election Sunday, defeating his ultranationalist rival.

We're still not sure how it even happened.

In late 2024 we launched several enhancements to AWS Transit Gateway and AWS Cloud WAN services: Path MTU Discovery (PMTUD) support for Transit Gateway and AWS Cloud WAN Appliance Mode Routing Enhancement for improved Availability Zone (AZ) awareness Per-AZ Amazon CloudWatch Metrics AWS Cloud WAN: Service Insertion Operational Enhancement In this post, we explain how [...]

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In relational SQL databases, foreign keys are essential for guaranteeing referential integrity. There...

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Amazon EC2 now supports up to the full EC2 instance bandwidth for inter-region VPC peering traffic and to AWS Direct Connect. Additionally, EC2 supports jumbo frames up to 8500 Bytes for cross region VPC peering. Before today, the egress bandwidth for EC2 instances was limited to 50% of the aggregate bandwidth limit for instances with 32 or more vCPUs, and 5 Gbps for smaller instances. Cross region peering supported up to 1500 bytes. Now, customers can send bandwidth from EC2 between regions or towards AWS Direct Connect at the full instance baseline specification or 5Gbps, whichever is greater and customers can use jumbo frames across regions for peered VPCs. Customers transferring data between regions or from EC2 to their on-premises network via AWS Direct Connect now have access to the full instance bandwidth capabilities. Before today, customers sending traffic to any destination not in the same region had a lower bandwidth limit. With this change, the lower limit has been removed for destinations between AWS regions and to on-premises through AWS Direct Connect, allowing for faster transfers. Additionally, supporting jumbo frames for peering makes sending large volumes of data faster than before. This capability is available in all AWS commercial regions, the AWS GovCloud (US) Regions, and the Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD. Customers can take advantage of this capability without any additional changes. To learn more about EC2 bandwidth capabilities, please review our user guide.

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Embarking on a native port of the existing TypeScript compiler and toolset to achieve a 10x performance speed-up.

Amazon GameLift Streams is a new managed capability that allows developers to stream games at up to 1080p resolution and 60 frames per second to any device with a WebRTC-enabled browser. In just a few clicks, you can upload games built with a variety of 3D engines with little to no modification, provision streaming capacity in specific AWS Regions, and immediately start test streaming. Players can start playing AAA, AA, and Indie games over the internet in just a few seconds on their PCs, phones, tablets, and smart TVs without waiting hours for a download. With Amazon GameLift Streams, you can create new direct-to-player distribution channels, launch instant-play game demos, conduct secure playtesting, and expand monetization opportunities. With support for Windows, Linux, and Proton runtimes, Amazon GameLift Streams helps you avoid the expense and complexity of modifying and rebuilding game code for streaming. You can flexibly scale streaming up or down based on player demand, and only provision and pay for the capacity you need. You can choose from six AWS Regions to deliver low-latency game play closer to players around the world. This new capability opens opportunities for you to expand the reach, engagement, and sales of your games while maintaining full control over the player relationship, experience, branding, and business model. Amazon GameLift Streams is a new capability of Amazon GameLift, a fully managed service on AWS empowering developers to build and deliver the world’s most demanding games. The new capability is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland). To learn more, visit the Amazon GameLift Streams website, read the Developer Guide, or explore the AWS News Blog post.

how to gain code execution on millions of people and hundreds of popular apps

Discover why your AWS Lambda costs might be spiralling out of control due to a common Python programming practice.

The Terraform AWS Cloud Control (AWSCC) provider now supports AWS Batch job definitions, enabling you to leverage recent and future enhancements to AWS Batch. Learn more in our latest blog post.

As media content continues to grow in complexity and volume, many organizations find themselves seeking more scalable and cost-effective transcoding solutions. To combat these challenges consider Amazon Web Services (AWS) Elemental MediaConvert (MediaConvert), a powerful service that addresses the evolving needs of video processing professionals. If you’re currently using Amazon Elastic Transcoder (Elastic Transcoder), you’ll [...]

Any company using Kubernetes eventually starts looking into developing their custom controllers. After all, what’s not to like about being able to provision resources with declarative configurat...

Posted by Joshua Bloch, Software EngineerI remember vividly Jon Bentley's first Algorithms lecture at CMU, where he asked all of us incoming Ph.D. ...

A letter to my very stupid 22-year-old self

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This describes using the new capability from EC2 to create Amazon Machine Images compatible with Amazon WorkSpaces

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AWS Pulse

B-Trees are not boring, after all

Most coders want AI to write code faster: I want AI to write FASTER CODE.