Category: Intermediate (200)

Managing Amazon EC2 AMIs at scale means constantly mapping AMI IDs to their AWS Systems Manager parameter paths by hand. A recent enhancement to the DescribeImages API returns the associated SSM parameter directly. This post shows how to use it across the AWS CLI, AWS CloudFormation, Terraform, and Auto Scaling launch templates.

AWS Lambda now supports scalable network bandwidth for functions with 2,048 MB of memory or more running outside a VPC. Sustained throughput scales from 625 Mbps up to 3,000 Mbps at 10,240 MB, reducing execution times and per-invocation costs for latency-sensitive data processing workloads.

Amazon API Gateway execution logs help you trace request processing step by step through your REST API stages. They capture authorization results, integration latency, mapping template output, and error details that are otherwise invisible at the API surface. When a production request fails in a way the access log cannot explain, the execution log is […]

Enterprises that use Amazon API Gateway often want to bring their own client certificate for backend mutual TLS (mTLS) authentication. With API Gateway, you can now use a third-party or AWS Private CA-issued client certificate for the outbound mTLS handshake. In this post, you build a REST API with an outbound mTLS connection to an Amazon ECS backend.

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.

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.

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.

This post walks through a fraud detection system built with durable functions. It also highlights the best practices that you can apply to your own production workflows, from approval processes to data pipelines to AI agent orchestration.

To support cloud applications that increasingly depend on rich contextual data, AWS is raising the maximum payload size from 256 KB to 1 MB for asynchronous AWS Lambda function invocations, Amazon Amazon SQS, and Amazon EventBridge. Developers can use this enhancement to build and maintain context-rich event-driven systems and reduce the need for complex workarounds such as data chunking or external large object storage.

Amazon Web Services (AWS) provides many mechanisms to optimize the price performance of workloads running on Amazon Elastic Compute Cloud (Amazon EC2), and the selection of the optimal infrastructure to run on can be one of the most impactful levers. When we started building the AWS Graviton processor, our goal was to optimize AWS Graviton […]