Chaos Engineering with Python : Python-powered techniques for building resilient systems through chaos engineering

Progressive learning, starting with chaos principles, fault tolerance patterns to practical use cases, and finally to integration with CI/CD. Real-world use cases, including Kubernetes and cloud infrastructure, built with a structured and repeatable approach.

It begins by defining resilience and tracing the evolution of chaos engineering from traditional testing methods. A core focus of the book is real-world application, demonstrating structured chaos experiments across various environments. Readers will learn fault injection techniques, how to analyze experiment results, and how to use tools like the Python Chaos Toolkit. The book extensively covers chaos engineering on Kubernetes, a critical skill for modern cloud-native applications, and explores experiments on virtual machines and AWS infrastructure, in addition to providing an overview of the managed chaos services. The book also emphasizes integrating chaos experiments into CI/CD pipelines, enabling automated, continuous resilience testing as part of the development workflow. Beyond tech, it provides guidance on embedding, measuring, and sustaining the cultural shift needed to embrace chaos engineering.