What tools does this skill support?

The skill provides guidance and configuration support for industry-standard tools including Chaos Mesh, Gremlin, Toxiproxy, and AWS Fault Injection Simulator (FIS).

Is it safe to use in production?

The skill follows best practices by recommending you start with small-scale experiments in staging environments before gradually expanding to production once confidence is established.

Can this skill help with Kubernetes environments?

Yes, it offers specific strategies for container-level chaos, such as pod deletion, network partitions, and resource pressure using tools like Chaos Mesh.

Does it provide analysis of the failure results?

Yes, it assists in interpreting monitoring data and system logs to determine if the system met its resilience objectives or if vulnerabilities were uncovered.

Chaos Engineering & System Resilience

Name: Chaos Engineering & System Resilience
Author: jeremylongshore

byjeremylongshore

•

883

보안 및 테스팅

Designs and executes controlled failure injection experiments to identify system weaknesses and validate recovery mechanisms.

소개

This skill transforms Claude into a chaos engineering specialist, providing expert guidance on simulating real-world failures to harden production systems. It assists users through the entire experiment lifecycle—from defining steady-state hypotheses and selecting appropriate tools like Chaos Mesh or AWS FIS, to analyzing the impact of latency, resource exhaustion, and network outages. Whether you are validating circuit breaker logic or testing database failover protocols, this skill ensures your infrastructure is battle-tested against unpredictable stressors.

주요 기능

Resilience validation for circuit breakers and retry logic
883 GitHub stars
Automated chaos experiment design and hypothesis generation
Latency and network congestion simulation via Toxiproxy
Post-experiment vulnerability analysis and hardening recommendations
Integration guidance for Chaos Mesh, Gremlin, and AWS FIS

사용 사례

Simulating regional cloud outages to verify multi-region availability
Testing automated database failover processes under high load
Injecting API latency to evaluate frontend graceful degradation

소개

주요 기능

Resilience validation for circuit breakers and retry logic
883 GitHub stars
Automated chaos experiment design and hypothesis generation
Latency and network congestion simulation via Toxiproxy
Post-experiment vulnerability analysis and hardening recommendations
Integration guidance for Chaos Mesh, Gremlin, and AWS FIS

사용 사례

Simulating regional cloud outages to verify multi-region availability
Testing automated database failover processes under high load
Injecting API latency to evaluate frontend graceful degradation