Chaos Engineering for Cloud native Apps
Chaos engineering is the discipline of proactively experimenting on distributed systems to build confidence in their ability to withstand production failures. In this episode, Chris is joined by Ashish Balgath (Cloud Solution Architect at Thoughtworks) to explore why resilience testing requires a fundamentally different mindset to traditional unit testing.
Ashish explains how chaos engineering can be thought of as a fire drill for software: practising failure scenarios in a controlled environment so that teams build the muscle memory they need to respond quickly when real incidents occur. The conversation covers key prerequisites — mature observability, health checks, and structured logging — and explains why these must be in place before introducing chaos experiments safely.
The discussion moves into practical tooling, including a live demo of stopping a virtual machine and validating that Azure Traffic Manager correctly routes traffic to a healthy region. Chaos Monkey and other fault-injection simulator tools are also discussed. The episode closes with actionable tips for getting started: begin small, define a clear hypothesis before each experiment, run experiments from development environments through to production-like environments, and always roll back introduced faults at the end of each run.
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