Category: Learning Levels

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.

When you create an AWS Lambda function, you choose the runtime that Lambda will use to run your code. This includes the base language version and supporting libraries. Lambda runtimes follow a published deprecation schedule. This means that you must periodically upgrade your function’s runtime. Running on a deprecated runtime means potential security exposure, loss […]

Multi-Region Event-Driven Failover Architecture with Amazon EventBridge and Route 53 Event-driven architectures enable applications to respond to events in real-time, providing scalability and loose coupling between components. However, ensuring high availability across multiple AWS regions requires careful design of failover mechanisms. This post demonstrates how to build a resilient multi-region event-driven architecture using Amazon EventBridge, […]

Building memory-intensive applications with AWS Lambda just got easier. AWS Lambda Managed Instances gives you up to 32 GB of memory—3x more than standard AWS Lambda—while maintaining the serverless experience you know. Modern applications increasingly require substantial memory resources to process large datasets, perform complex analytics, and deliver real-time insights for use cases such as […]

In this post, you will learn how to configure AWS Lambda Managed Instances by creating a Capacity Provider that defines your compute infrastructure, associating your Lambda function with that provider, and publishing a function version to provision the execution environments. We will conclude with production best practices including scaling strategies, thread safety, and observability for reliable performance.