Chaos Engineering: Site reliability through controlled disruption (MEAP)
Date: March 16th, 2021
ISBN: 1617297755
Language: English
Number of pages: 410 pages
Format: EPUB
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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.
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. Chaos Engineering: Crash test your applications teaches you to think like a chaos engineer and how to design the proper experiments to ensure the reliability of your software.
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. 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.
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. Chaos Engineering: Crash test your applications teaches you to think like a chaos engineer and how to design the proper experiments to ensure the reliability of your software.
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. 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.
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