/qe-chaos-resilience

name: "qe-chaos-resilience"
description: "Injects controlled faults (network partition, latency, process kill, disk pressure) into distributed systems and validates recovery behavior. Use when testing circuit breakers, failover paths, retry logic, or building confidence in system resilience through chaos engineering."
trust_tier: 3
validation:
  schema_path: schemas/output.json
  validator_path: scripts/validate-config.json
  eval_path: evals/qe-chaos-resilience.yaml

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, security-testing