Is chaos engineering just about breaking things in production?

No, chaos engineering is about controlled experiments with a specific hypothesis. It aims to learn how a system behaves under stress using safety guardrails to prevent actual downtime.

How does this skill help with steady-state metrics?

The skill provides patterns for identifying key performance indicators such as latency p99, error rates, and throughput to establish a baseline for your experiments.

Does it include guidance on experiment safety?

Absolutely. It emphasizes minimizing the blast radius, setting automated abort conditions, and establishing clear rollback plans for every experiment conducted.

Can I use this for Kubernetes environments?

Yes, the skill covers fault injection patterns compatible with Kubernetes-native tools like Chaos Mesh and Litmus, as well as general container-level faults.

Chaos Engineering Fundamentals

Name: Chaos Engineering Fundamentals
Author: melodic-software

bymelodic-software

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보안 및 테스팅

Implements proactive resilience testing through controlled fault injection experiments to discover system weaknesses before they cause outages.

소개

This skill provides a comprehensive framework for applying chaos engineering principles to modern software architectures. It guides users through the entire experiment lifecycle—from defining steady-state metrics and forming hypotheses to executing controlled faults across infrastructure, application, and dependency layers. By emphasizing safety protocols like blast radius limitation and emergency kill switches, the skill helps teams transition from reactive firefighting to proactive resilience building, ensuring systems can withstand turbulent production conditions.

주요 기능

Frameworks for defining steady-state metrics and resilience hypotheses
5 GitHub stars
Strategic guidance for infrastructure, application, and dependency fault injection
Safety protocols including blast radius control and automatic abort conditions
Standardized experiment design templates and lifecycle management
Best practices for GameDay planning and incident response simulation

사용 사례

Testing circuit breakers, retries, and timeout configurations in distributed systems
Validating high-availability and disaster recovery architectures under stress
Preparing engineering teams for production incidents through simulated GameDay exercises

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add melodic-software/claude-code-plugins chaos-engineering-fundamentals

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개