Performance Testing & Chaos Engineering

About

This skill empowers Claude to design and execute sophisticated performance tests that ensure production systems remain stable under heavy pressure. It provides structured guidance for implementing progressive load profiles—including smoke, stress, soak, and spike tests—while integrating trace correlation for deep bottleneck analysis. By incorporating chaos engineering techniques and automated SLO validation, it helps developers identify memory leaks, resource exhaustion, and resilience failures before they reach production.

Key Features

• Trace correlation for bottleneck analysis using OpenTelemetry headers
• 0 GitHub stars
• k6 script generation with realistic user 'think time' simulation
• Chaos engineering patterns for latency and failure rate injection
• Automated Performance SLOs and threshold validation in CI/CD
• Progressive load profiling including Smoke, Stress, Soak, and Spike tests

Use Cases

• Identifying hidden performance bottlenecks before high-traffic product launches
• Detecting memory leaks and resource exhaustion during long-duration soak tests
• Validating circuit breakers and resilience patterns through network chaos simulation