Название: Chaos Engineering: Crash test your applications (MEAP Version 5)Автор: Mikolaj Pawlikowski
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub/mobi
Страниц: 254
Размер: 10.5 Mb
Язык: English
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: Crash test your applications, 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: Crash test your applications 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.