AWS Compute Blog
Unlocking full-stack observability for AWS Outposts
Learn how to build end-to-end observability for AWS Outposts across four dimensions: network, storage, compute, and containers. This post uses AWS Systems Manager, Amazon CloudWatch, and Amazon EventBridge for unified visibility and automated incident response across hybrid infrastructure spanning your data center and an AWS Region.
Observing AWS Lambda durable functions with the Durable Execution Telemetry Exporter
Durable functions span many Lambda invocations, so per-invocation logs answer the wrong question. The Durable Execution Telemetry Exporter is an SDK plugin that emits one complete record per execution to any of 13 destinations with a one-line change, and a companion MCP server lets an AI agent query that data in plain language.
Building document-investigation agents with Amazon Bedrock AgentCore and Amazon S3 Files
Learn how an AWS Lambda function and an Amazon Bedrock AgentCore agent investigate a folder of related documents together through a shared Amazon S3 Files file system, using ordinary file operations instead of object download and upload code.
OS patching and upgrades with Amazon EC2 root volume replacement
Amazon EC2 Replace Root Volume with the direct Amazon EBS volume option lets you prepare and validate a replacement root volume in advance, then swap it onto a running production instance with a single reboot. Learn how to upgrade the OS and apply patches while the instance keeps its production identity, including instances in Auto Scaling groups.
Building an AEO scoring pipeline with AWS Lambda durable functions
Learn how to build a five-step Agent Engine Optimization (AEO) scoring pipeline on AWS Lambda durable functions. Each checkpointed step suspends without incurring costs between stages and retries without re-spending on prior work, so you can score any page against five AEO signals and deploy the solution with an AWS SAM template.
Your serverless attendee’s guide to AWS re:Invent 2026
AWS re:Invent 2026 offers an extensive selection of serverless and application integration content, including new AWS Lambda execution models, AI agents as a new kind of serverless consumer, and maturing event-driven patterns. This guide helps you navigate the serverless sessions and find the content most relevant to you.
Exploring AWS Lambda Web Functions for building web applications
Run a standard Node.js web server on AWS Lambda with Lambda Web Functions, a new type of Lambda function. Deploy it with one command or AWS CloudFormation and get a public HTTPS endpoint with no adapter layer and no servers to manage. See how one execution environment handles many concurrent requests and how active-CPU billing keeps the cost of waiting low.
Reducing cross-AZ latency with the AWS Lambda metadata endpoint
AWS Lambda now exposes Availability Zone metadata through an endpoint in the execution environment, so your function can discover its AZ ID with an HTTP request. Use it to prefer same-AZ endpoints for services like ElastiCache, Amazon RDS, and MemoryDB, reduce cross-AZ latency and data transfer costs, and build AZ-aware resilience patterns.
Scaling RL rollouts with Firecracker on Amazon EC2 metal
Reinforcement learning at scale runs thousands of isolated rollout sandboxes in parallel, and packing more of them onto each host lowers your cost per training step. This post shows how to tune Firecracker microVM density on Amazon EC2 metal, and introduces labsweep, a harness for mapping your own latency and density curve.
Get started with AWS Lambda SnapStart for container images
AWS Lambda SnapStart now supports container image functions, reducing startup times from several seconds to as low as sub-second. Learn how SnapStart for container images works, how to enable it on new or existing functions, and best practices for latency-sensitive workloads.









