AWS Compute

The Amazon Linux kernel-default SSM parameter now updates to point to the latest kernel version as new releases become available. This post explains what this means for your workloads and how to manage the transition.

AWS Step Functions has added a Copy agent prompt button to the console that configures your AI coding agent with Step Functions skills and an MCP server in one step. Paste the prompt into Claude Code, Kiro CLI, Cursor, or any MCP-compatible agent and start building workflows with natural language.

AWS Lambda introduces public preview runtimes, a new way to try upcoming language versions before GA. Start using Node.js 26 and Python 3.15 today, provide feedback, and help shape runtime quality before general availability.

Feature toggles allow you to change application behavior in real time without deploying new code. Learn how to implement dynamic feature flags with AWS AppConfig on AWS Lambda for safe deployments, gradual rollouts, and instant rollback.

Learn observability best practices for AWS Lambda durable functions, including CloudWatch metrics, custom alarms, structured logging, and X-Ray tracing for debugging callback timeouts end-to-end.

Learn how to collect CPU and memory metrics from AWS Lambda MicroVMs using the CloudWatch Agent. Configure telegraf and OTel to monitor and right-size your workloads.

Learn how to prevent correlated hardware failures in distributed systems on Amazon EC2. This post walks through real incident response patterns, including Partition Placement Groups, composite alarms, automated recovery with Auto Scaling, and observability best practices.

AWS Outposts brings AWS infrastructure into your data center with low latency and data locality. But an Outposts rack has fixed compute. Learn how to build a Burst to Region pattern that overflows workloads to Amazon EC2 in the parent Region when local capacity is exhausted.

Customers building event-driven applications on AWS rely on Amazon Simple Queue Service (Amazon SQS) and AWS Lambda event source mappings (ESMs) to process millions of events every day. The fully managed polling infrastructure of ESMs eliminates the need to write and maintain custom code. You can focus on business logic while Lambda handles scaling, batching,

In this 33rd quarterly recap post, discover the most impactful AWS serverless launches, features, and resources from Q2 2026 that you might have missed. Stay current with the latest serverless innovations that can improve your applications. In case you missed our last ICYMI, read about what happened in Q1 2026. AWS Lambda MicroVMs AWS Lambda

If you manage Lambda functions at scale, you’ve likely hit the 75 GB code storage limit or explained to your security team why deployment artifacts live in an S3 bucket you don’t control. Today, we’re announcing self-managed Amazon S3 buckets for AWS Lambda deployment packages. Lambda reads your code directly from your bucket, eliminating quota

Today, we are releasing an expanded format of our Amazon CloudWatch dimensions for AWS Outposts capacity metrics. The existing CloudWatch metrics, AvailableInstanceType_Count, UsedInstanceType_Count, InstanceTypeCapacityAvailability, and InstanceTypeCapacityUtilization for Outposts, can now be grouped using the new AssetState dimension with values: Active, Isolated, or Retiring. In this post, we describe what’s changing and how you can use

We are introducing modularized kernel cryptography in Amazon Linux 2023, an approach that separates Federal Information Processing Standard (FIPS) 140-3 cryptographic components into an independent kernel module that can be certified once and reused across subsequent kernel versions. In this post, we describe how this modular approach works, what it means for FIPS compliance workflows,

A single cold start can push your Java Lambda function’s response time from milliseconds to seconds, enough to violate your p99 SLA, timeout a downstream service, and page your on-call. The Java Virtual Machine (JVM) performs best in long-running processes. Its Just-In-Time (JIT) compiler progressively optimizes code over thousands of invocations. Standard serverless execution environments

AWS Outposts extend AWS infrastructure, services, APIs, and tools to on-premises locations for workloads that require low latency, local data processing, or data residency. In this post, you learn how to configure instances running on an Outpost to support the required IOPS and throughput for your application. The actual IOPS available to an instance is

We recently announced the launch of AWS Lambda MicroVMs, a new serverless compute primitive that provides VM-level isolation, near-instant startup performance, and state retention. You can now give each user or job their own execution environment to securely run just-in-time code – either user or AI generated – without managing virtualization infrastructure or choosing between

Development teams building serverless applications with AI coding agents face the question of how to let those agents generate and execute code without losing control over governance. Agent-generated code needs a secure environment to execute, isolated from production systems and the developer’s local environment. Addressing this requires three things working together: a secure execution sandbox,

Online multiplayer gaming continues to grow, with players demanding lower latency, higher concurrency, and more immersive experiences than ever before. For game studios hosting dedicated multiplayer servers on AWS, infrastructure decisions directly impact player experience and retention, server tick rates, and ultimately, revenue. Games are becoming more computationally demanding while offering richer gameplay experiences. Studios

The primary storage solutions for EC2 Windows instances, Amazon EC2 Instance Store and Amazon Elastic Block Store (Amazon EBS) , now provide detailed performance statistics for real-time monitoring. Real-time monitoring enables you to gain visibility into key performance metrics, such as latency, throughput, and IOPS, allowing you to detect and address potential bottlenecks or issues

Agentic AI workflows coordinate multiple agents that reason, plan, and act across multi-step processes. Each step is expensive, non-deterministic, and unpredictable in latency. Human review gates can pause execution for days. Transient failures are expected, and restarting a half-finished workflow wastes time and money. Duplicate actions, like charging a payment twice or sending the same