What is Chaos Engineering?

What is Chaos Engineering?

Chaos engineering is the practice of running controlled, measurable experiments to learn how systems behave under failure. The goal is not to break things randomly; it is to test resilience assumptions under production-like conditions.

An experiment may terminate pods, add network latency, cut a database connection, fill disk space, or slow down a third-party API. Before the experiment starts, the team defines the expected behavior, stop conditions, monitoring signals, and blast radius.

Safe Practice

Chaos experiments should start with a small blast radius: one service, limited traffic, a defined time window, and a clear rollback plan. If monitoring and alerting are weak, the results cannot be interpreted reliably. Incident process and team communication matter as much as tooling.

Chaos engineering can reveal whether disaster recovery plans are realistic. It also tests whether resilience patterns such as a circuit breaker actually work under pressure. In Kubernetes environments, controlled pod, node, and network failure scenarios are common.