Chaos Engineering
Site reliability through controlled disruption
Mikolaj Pawlikowski
  • MEAP began April 2020
  • Publication in Spring 2021 (estimated)
  • ISBN 9781617297755
  • 410 pages (estimated)
  • printed in black & white

This book is like the Swiss Army knife of chaos engineering. If you need to “break” your app, this book will have a tool that will help you with that.

Alessandro Campeis
Auto engineers test the safety of a car by intentionally crashing it and carefully observing the results. Chaos engineering applies the same principles to software systems. In Chaos Engineering: Site reliability through controlled disruption, you’ll learn to run your applications and infrastructure through a series of tests that simulate real-life failures. You’ll maximize the benefits of chaos engineering by learning to think like a chaos engineer, and how to design the proper experiments to ensure the reliability of your software. With examples that cover a whole spectrum of software, you’ll be ready to run an intensive testing regime on anything from a simple WordPress site to a massive distributed system running on Kubernetes.

About the Technology

Rather than just looking for code bugs and errors, chaos engineering sees how your software responds to calamity, including partial infrastructure outages, hardware failure, and other major pitfalls that can befall a production system. By observing a system in distress or under attack, chaos engineering ensures the reliability and resiliency of your software—especially for hard-to-test distributed systems with lots of moving parts and little scope for downtime.

About the book

In Chaos Engineering: Site reliability through controlled disruption you’ll learn to design and execute controlled failure experiments that reveal the hidden problems in your software. Using a toolbox of open source tools, you’ll inject system-shaking failures at every level—from your Docker containers, to your Kubernetes deployment, to the UI. You’ll learn Linux monitoring for observing system metrics and evaluating your results, and even how to apply Chaos Engineering to make your human teams more reliable and resilient to handling failures. Best of all, all tools and examples come with a downloadable Linux VM image, letting you easily experiment without risk to your own systems.

What's inside

  • Design, run and analyze Chaos Engineering experiments
  • See how applications react to a database connections latency
  • Experiment with Docker container isolation
  • Test software running on Kubernetes and the platform itself
  • Inject failure into software running in the HVM

About the reader

For developers with basic knowledge of scripting and Linux.

About the author

Mikolaj Pawlikowski has been practicing chaos engineering for four years, beginning with a large distributed Kubernetes-based microservices platform at Bloomberg. He is the creator of the Kubernetes Chaos Engineering tool PowerfulSeal, and the networking visibility tool Goldpinger. He is an active member of the Chaos Engineering community and speaks at numerous conferences.

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