Does it support chaos engineering scenarios?

Yes, it provides implementation patterns for injecting latency, failure rates, and network-level chaos using tools like Toxiproxy to verify system resilience.

What tools does this skill use for load testing?

The skill primarily utilizes k6 for creating and running load test scripts due to its scriptability, performance, and seamless integration with modern observability stacks.

What are the different load profiles supported?

It supports Smoke tests (correctness), Load tests (expected traffic), Stress tests (breaking points), Soak tests (endurance), and Spike tests (sudden bursts).

Can I automate these performance tests?

Absolutely. The skill includes guidance for integrating performance benchmarks into CI/CD pipelines to catch performance regressions during every push or nightly build.

How does it help with bottleneck identification?

It integrates load tests with distributed traces by passing trace context headers, allowing you to correlate high load with specific spans in tools like Jaeger or Honeycomb.

Performance Testing & Chaos Engineering

Name: Performance Testing & Chaos Engineering
Author: jagreehal

byjagreehal

보안 및 테스팅

Benchmarks system stability and resilience using progressive load profiles, k6 scripts, and chaos engineering patterns.

소개

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.

주요 기능

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

사용 사례

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

소개

주요 기능

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

사용 사례

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