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Chaos Engineering

Name: Chaos Engineering
Brand: Manning Publications
SKU: 33105727
Price: 51.72 EUR
Availability: InStock
Author: Mikolaj Pawlikowski
ISBN: 9781617297755

Mikolaj Pawlikowski

Língua

Inglês

Livro Capa mole

Código Libristo: 33105727

Editoras Manning Publications, março 2021

Auto engineers test the safety of a car by intentionally crashing it and carefully observing the r... Descrição completa

Código Libristo: 33105727

125 b

51.72 €

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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

Can your network survive a devastating failure? Could an accident bring your day-to-day operations to a halt? Chaos engineering simulates infrastructure outages, component crashes, and other calamities to show how systems and staff respond. Testing systems in distress is the best way to ensure their future resilience, which is especially important for complex, large-scale applications with little room for downtime.

about the book

Chaos Engineering teaches you to design and execute controlled experiments that uncover hidden problems. Learn to inject system-shaking failures that disrupt system calls, networking, APIs, and Kubernetes-based microservices infrastructures. To help you practice, the book includes a downloadable Linux VM image with a suite of preconfigured tools so you can experiment quickly—without risk.