🎁 New User? Get 20% off your first purchase with code NEWUSER20 Register Now →
Menu

Categories

DevOps Advanced

What is Chaos Engineering?

The discipline of deliberately introducing failures into a system to test its resilience and identify weaknesses before they cause outages.

Chaos engineering, pioneered by Netflix with Chaos Monkey, proactively tests system resilience. Experiments include killing servers, injecting network latency, filling disks, and simulating region failures. The goal is finding weaknesses before they cause real outages.

Principles include defining steady state, hypothesizing what will happen, running experiments in production, and minimizing blast radius. Tools include Chaos Monkey, Gremlin, and Litmus. Start small and gradually increase experiment scope.

Related Terms

SonarQube
A platform for continuous code quality inspection that detects bugs, vulnerabilities, and code smells through static analysis.
Immutable Infrastructure
An approach where servers are never modified after deployment — changes require building and deploying entirely new server instances.
Infrastructure as Code (IaC)
The practice of managing infrastructure through machine-readable configuration files rather than manual processes.
Container Orchestration
The automated management of containerized applications including deployment, scaling, networking, and health monitoring across clusters.
Artifact Repository
A centralized storage system for build artifacts like compiled binaries, packages, and container images used in CI/CD pipelines.
Kubernetes ConfigMap
A Kubernetes object that stores non-sensitive configuration data as key-value pairs, injected into pods as environment variables or files.
 View All DevOps Terms →