proffesor-for-testing

QE Chaos Resilience

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# Install this skill:
npx skills add proffesor-for-testing/agentic-qe --skill "QE Chaos Resilience"

Install specific skill from multi-skill repository

# Description

Chaos engineering and resilience testing including fault injection, load testing, and system recovery validation.

# SKILL.md


name: "QE Chaos Resilience"
description: "Chaos engineering and resilience testing including fault injection, load testing, and system recovery validation."


QE Chaos Resilience

Purpose

Guide the use of v3's chaos engineering capabilities including controlled fault injection, load/stress testing, resilience validation, and disaster recovery testing.

Activation

  • When testing system resilience
  • When performing chaos experiments
  • When load/stress testing
  • When validating disaster recovery
  • When testing circuit breakers

Quick Start

# Run chaos experiment
aqe chaos run --experiment network-latency --target api-service

# Load test
aqe chaos load --scenario peak-traffic --duration 30m

# Stress test to breaking point
aqe chaos stress --endpoint /api/users --max-users 10000

# Test circuit breaker
aqe chaos circuit-breaker --service payment-service

Agent Workflow

// Chaos experiment
Task("Run chaos experiment", `
  Execute controlled chaos on api-service:
  - Inject 500ms network latency
  - Monitor service health metrics
  - Verify circuit breaker activation
  - Measure recovery time
  - Document findings
`, "qe-chaos-engineer")

// Load testing
Task("Performance load test", `
  Run load test simulating Black Friday traffic:
  - Ramp up to 10,000 concurrent users
  - Maintain load for 30 minutes
  - Monitor response times and error rates
  - Identify bottlenecks
  - Compare against SLAs
`, "qe-load-tester")

Chaos Experiments

1. Fault Injection

await chaosEngineer.injectFault({
  target: 'api-service',
  fault: {
    type: 'latency',
    parameters: {
      delay: '500ms',
      jitter: '100ms',
      percentage: 50
    }
  },
  duration: '5m',
  monitoring: {
    metrics: ['response_time', 'error_rate', 'throughput'],
    alerts: true
  },
  rollback: {
    automatic: true,
    trigger: 'error_rate > 10%'
  }
});

2. Load Testing

await loadTester.execute({
  scenario: 'peak-traffic',
  profile: {
    rampUp: '5m',
    steadyState: '30m',
    rampDown: '5m'
  },
  users: {
    initial: 100,
    target: 5000,
    pattern: 'linear'
  },
  assertions: {
    p95_latency: '<500ms',
    error_rate: '<1%',
    throughput: '>1000rps'
  }
});

3. Stress Testing

await loadTester.stressTest({
  endpoint: '/api/checkout',
  strategy: 'step-increase',
  steps: [100, 500, 1000, 2000, 5000],
  stepDuration: '5m',
  findBreakingPoint: true,
  monitoring: {
    resourceUtilization: true,
    databaseConnections: true,
    memoryUsage: true
  }
});

4. Resilience Validation

await resilienceTester.validate({
  scenarios: [
    'database-failover',
    'cache-failure',
    'external-service-timeout',
    'pod-termination'
  ],
  expectations: {
    gracefulDegradation: true,
    automaticRecovery: true,
    dataIntegrity: true,
    recoveryTime: '<30s'
  }
});

Fault Types

Fault Description Use Case
Latency Add network delay Test timeouts
Packet Loss Drop network packets Test retry logic
CPU Stress Consume CPU Test resource limits
Memory Pressure Consume memory Test OOM handling
Disk Full Fill disk space Test disk errors
Process Kill Terminate process Test recovery

Chaos Report

interface ChaosReport {
  experiment: {
    name: string;
    target: string;
    fault: FaultConfig;
    duration: number;
  };
  results: {
    hypothesis: string;
    validated: boolean;
    metrics: {
      before: MetricSnapshot;
      during: MetricSnapshot;
      after: MetricSnapshot;
    };
    events: ChaosEvent[];
    recovery: {
      detected: boolean;
      time: number;
      automatic: boolean;
    };
  };
  findings: {
    severity: 'critical' | 'high' | 'medium' | 'low';
    description: string;
    recommendation: string;
  }[];
  artifacts: {
    logs: string;
    metrics: string;
    traces: string;
  };
}

Safety Controls

safety:
  blast_radius:
    max_affected_pods: 1
    max_affected_percentage: 10

  abort_conditions:
    - error_rate > 50%
    - p99_latency > 10s
    - service_unavailable

  excluded_environments:
    - production-critical

  required_approvals:
    production: 2
    staging: 0

SLA Validation

await resilienceTester.validateSLA({
  slas: {
    availability: 99.9,
    p95_latency: 500,
    error_rate: 0.1
  },
  period: '30d',
  report: {
    breaches: true,
    trends: true,
    projections: true
  }
});

Coordination

Primary Agents: qe-chaos-engineer, qe-load-tester, qe-resilience-tester
Coordinator: qe-chaos-coordinator
Related Skills: qe-performance, qe-security-compliance

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.