Category: AWS CloudFormation

In this post, we demonstrate how to build a multi-agent AI system using the AWS Knowledge Model Context Protocol (MCP) server to automate Regional expansion analysis and planning for AWS workloads. The solution combines specialized AI agents with MCP servers to analyze CloudFormation stacks and CloudTrail logs, identify Regional capability gaps, and generate actionable migration strategies in hours instead of weeks, helping organizations accelerate their global cloud footprints while maintaining data security within their local environment.

In this post, we detail the concepts, processes, and steps to get started with policy as code (PaC) and adopt this into your software development lifecycle. PaC can improve your overall security posture, improve consistency of service usage across your organization, and reduce rework or workloads deployed to your AWS accounts.

Learn how to refresh AWS Secret Manager secrets in long-running Amazon ECS tasks through automation using a Lambda function and a CloudFormation resource.

Learn how to configure an IAM Roles Anywhere solution that lets AWS Partner CRM Connector users authenticate with Salesforce using temporary AWS credentials, eliminating the need to hardcode them.

Learn about some common approaches for collecting data from multiple AWS services across your organization, including common patterns with code samples that you can reuse to consume the data.

Learn how to use AWS CloudFormation StackSets to automate and simplify data protection without duplicating existing backups on Amazon EBS, a high-performance block-storage service designed for Amazon EC2.

Learn how the AWS Quick Start team reduced documentation delays by implementing a docs-as-code solution based on GitHub and AsciiDoc.

Learn how to use Amazon EKS Blueprints for CDK to simplify integration of common tooling and provisioning of complete, opinionated EKS clusters that meet specific application requirements. This solution is designed to replace the deprecated Amazon EKS Quick Start.

One way to alleviate the pain of drift in your Amazon Web Services (AWS) workloads is to use a GitOps workflow to automate Amazon Machine Image (AMI) builds with AWS CodePipeline. In this post, we show you how to deploy a continuous integration and continuous delivery (CI/CD) pipeline, managed by CodePipeline, to build AMIs.

Learn how to manage credentials with many accounts, automate IAM credential reports, and consolidate the results.