Chaos Engineering involves applying the scientific method to distributed systems to discover potential failure modes by intentionally introducing disruptions. This practice helps increase confidence in system reliability. Key principles include running experiments in production, minimizing the blast radius, and automating experiments. Chaos Engineering differs from Fault Injection Testing by uncovering unknown unknowns rather than testing specific conditions. Examples from companies like Facebook, LinkedIn, Audible, Twitch, and Target illustrate varied implementations and benefits.

11m read timeFrom blog.quastor.org
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Philosophy Behind Chaos EngineeringFault Injection Testing vs Chaos EngineeringImplementationExamples
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