In this post, you’ll learn how to architect and implement a five-layer AI-powered resilience framework that automatically discovers dependencies, generates targeted experiments, and integrates with your existing Continuous Integration/Continuous Deployment (CI/CD) pipelines. First, we’ll explore the key challenges in resilience testing. Then, we’ll walk through the five-layer architecture that solves these challenges. Finally, we’ll show you how to implement this,…
#aws resilience hub arh
3 posts
22 Jun
1 Jun
AWS Weekly Roundup: Claude Opus 4.8 on AWS, Aurora MySQL with Kiro Powers, and more (June 1, 2026)
AWSIn my last Week in Review post, I shared what I’d been hearing from customers in the AI-Driven Development Lifecycle (AI-DLC) workshops I’ve been delivering. Last week I was back at it, this time in Denver for a two-day AI-DLC workshop, where I helped facilitate 17 teams to deliver nearly 20 separate use cases in […]
28 May
Introducing the next generation of AWS Resilience Hub for generative AI-based SRE resilience journey
AWSAWS launches the next generation of AWS Resilience Hub with a significantly expanded experience that brings together a new application model, dependency discovery assessment, generative AI-powered failure mode analysis, modular resilience policies, and organization-wide reporting.