methodology

Chaos Engineering

Chaos Engineering is a discipline of experimenting on a system in production to build confidence in the system's capability to withstand turbulent and unexpected conditions. It involves intentionally injecting failures or disruptions to test resilience, identify weaknesses, and improve reliability. This proactive approach helps organizations prevent outages and ensure high availability in complex distributed systems.

Also known as: Chaos Testing, Resilience Engineering, Fault Injection, Chaos Monkey, Chaos Experiments
🧊Why learn Chaos Engineering?

Developers should learn Chaos Engineering when building or maintaining large-scale, distributed applications where reliability is critical, such as in cloud-native, microservices, or e-commerce platforms. It is used to validate system resilience, uncover hidden dependencies, and ensure fault tolerance before real incidents occur, reducing downtime and improving customer trust. Common use cases include testing failover mechanisms, latency injection, and dependency failure scenarios.

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