Performance Testing Strategy

This comprehensive performance testing strategy for Puppeteer MCP covers load testing, stress testing, performance benchmarking, scalability testing, monitoring, and chaos engineering to ensure enterprise-grade performance requirements are met.

System Architecture Overview

The Puppeteer MCP system architecture includes:

Multi-Protocol Gateway: REST, WebSocket, gRPC, MCP protocols
Session Management: JWT-based authentication with in-memory/Redis storage
Browser Pool: Optimized browser instance management with scaling capabilities
Resource Management: CPU/memory monitoring and optimization
Circuit Breaker: Fault tolerance and recovery mechanisms

Key Performance Metrics

Latency: Action execution time, session creation time
Throughput: Actions per second, concurrent sessions
Resource Utilization: CPU, memory, browser handles
Availability: Uptime, error rates, recovery time
Scalability: Horizontal/vertical scaling efficiency

1. Load Testing Strategy

1.1 Concurrent Session Creation and Management

Test Scenarios

scenario_1_session_ramp_up:
  name: 'Gradual Session Creation'
  description: 'Test system behavior with gradually increasing sessions'
  parameters:
    initial_users: 10
    target_users: 500
    ramp_up_time: 300s
    hold_time: 600s
  metrics:
    - session_creation_time_p50
    - session_creation_time_p95
    - session_creation_time_p99
    - failed_session_creations
    - memory_usage_per_session

scenario_2_session_burst:
  name: 'Burst Session Creation'
  description: 'Test system response to sudden session requests'
  parameters:
    burst_size: 100
    burst_interval: 10s
    total_bursts: 10
  expected_behavior:
    - queue_management_activation
    - graceful_degradation
    - no_session_loss

Implementation Example

import { LoadTestRunner } from './utils/load-test-runner';
import { MetricsCollector } from './utils/metrics-collector';

describe('Session Management Load Tests', () => {
  let runner: LoadTestRunner;
  let metrics: MetricsCollector;

  beforeEach(() => {
    runner = new LoadTestRunner({
      baseUrl: process.env.TEST_URL || 'http://localhost:8443',
      protocol: 'rest', // Test each protocol separately
    });
    metrics = new MetricsCollector();
  });

  test('Concurrent Session Creation - Ramp Up', async () => {
    const results = await runner.runScenario({
      name: 'session-ramp-up',
      stages: [
        { duration: '30s', target: 10 }, // Warm up
        { duration: '5m', target: 100 }, // Ramp to 100 users
        { duration: '10m', target: 500 }, // Ramp to 500 users
        { duration: '10m', target: 500 }, // Hold at 500
        { duration: '5m', target: 0 }, // Ramp down
      ],
      executor: async (userId) => {
        const startTime = Date.now();
        try {
          const session = await runner.createSession({
            username: `user_${userId}`,
            password: 'test123!',
            duration: 3600,
          });

          metrics.recordSuccess('session_creation', Date.now() - startTime);

          // Perform some actions with the session
          await runner.performActions(session.sessionId, [
            { type: 'navigate', url: 'https://example.com' },
            { type: 'screenshot' },
            { type: 'wait', duration: 1000 },
          ]);

          return { success: true, sessionId: session.sessionId };
        } catch (error) {
          metrics.recordFailure('session_creation', Date.now() - startTime, error);
          return { success: false, error };
        }
      },
    });

    // Assert performance targets
    expect(results.metrics.session_creation.p95).toBeLessThan(1000); // 1s
    expect(results.metrics.session_creation.errorRate).toBeLessThan(0.01); // 1%
  });
});

1.2 Multiple Browser Contexts

Test Scenarios

scenario_browser_contexts:
  name: 'Concurrent Browser Context Management'
  description: 'Test multiple browser contexts per session'
  test_cases:
    - name: 'Single Session Multiple Contexts'
      contexts_per_session: 10
      pages_per_context: 5
      concurrent_sessions: 50

    - name: 'Context Switching Performance'
      context_switches_per_minute: 100
      measure:
        - switch_latency
        - memory_overhead
        - cpu_spike

1.3 High-Frequency Action Execution

Test Matrix

Action Type	Target Rate	Concurrency	Expected Latency
Navigate	100/s	50 sessions	< 500ms
Click	500/s	100 sessions	< 100ms
Type	300/s	100 sessions	< 150ms
Screenshot	50/s	50 sessions	< 1000ms
PDF	20/s	20 sessions	< 2000ms

Implementation

test('High-Frequency Navigation', async () => {
  const sessions = await runner.createSessionPool(50);

  const results = await runner.runConcurrent({
    sessions,
    duration: '5m',
    targetRate: 100, // actions per second
    action: async (session) => {
      const urls = [
        'https://example.com/page1',
        'https://example.com/page2',
        'https://example.com/page3',
      ];

      const url = urls[Math.floor(Math.random() * urls.length)];
      const startTime = Date.now();

      try {
        await session.navigate(url);
        return { success: true, latency: Date.now() - startTime };
      } catch (error) {
        return { success: false, error, latency: Date.now() - startTime };
      }
    },
  });

  // Analyze results
  const analysis = metrics.analyze(results);
  expect(analysis.successRate).toBeGreaterThan(0.99);
  expect(analysis.p95Latency).toBeLessThan(500);
});

1.4 Browser Pool Optimization Under Load

Test Scenarios

interface PoolOptimizationTest {
  name: string;
  config: {
    initialPoolSize: number;
    maxPoolSize: number;
    targetUtilization: number;
    scalingStrategy: 'aggressive' | 'balanced' | 'conservative';
  };
  load: {
    pattern: 'steady' | 'spike' | 'wave';
    duration: string;
    intensity: number;
  };
  expectations: {
    scalingLatency: number; // ms
    resourceEfficiency: number; // percentage
    noResourceExhaustion: boolean;
  };
}

1.5 Memory Usage and Resource Cleanup

Memory Leak Detection

test('Memory Leak Detection - Long Running', async () => {
  const monitor = new MemoryMonitor();
  monitor.start();

  // Run for extended period
  await runner.runScenario({
    name: 'memory-leak-detection',
    duration: '2h',
    users: 50,
    scenario: async (userId) => {
      // Create and destroy sessions repeatedly
      for (let i = 0; i < 100; i++) {
        const session = await runner.createSession();
        await runner.performActions(session.id, [
          { type: 'navigate', url: 'https://heavy-site.com' },
          { type: 'screenshot' },
          { type: 'extractText' },
        ]);
        await runner.destroySession(session.id);

        // Check memory every 10 iterations
        if (i % 10 === 0) {
          monitor.checkpoint(`user_${userId}_iteration_${i}`);
        }
      }
    },
  });

  const analysis = monitor.analyze();
  expect(analysis.memoryGrowthRate).toBeLessThan(0.01); // 1% per hour
  expect(analysis.gcEfficiency).toBeGreaterThan(0.95); // 95% efficiency
});

2. Stress Testing

2.1 Maximum Concurrent Sessions

Test Plan

stress_test_max_sessions:
  name: 'Maximum Session Capacity'
  approach: 'Binary search for breaking point'
  steps:
    - start: 100
      increment: 100
      measure_at_each_level:
        - session_creation_success_rate
        - average_response_time
        - error_rate
        - resource_utilization

  breaking_point_criteria:
    - error_rate > 10%
    - response_time_p95 > 5000ms
    - memory_usage > 90%
    - cpu_usage > 95%

2.2 Browser Pool Exhaustion

Implementation

test('Browser Pool Exhaustion Behavior', async () => {
  const config = {
    maxBrowsers: 10,
    maxPagesPerBrowser: 5,
    queueTimeout: 30000,
  };

  // Exhaust the pool
  const sessions = [];
  for (let i = 0; i < config.maxBrowsers * 2; i++) {
    sessions.push(runner.createSession());
  }

  const results = await Promise.allSettled(sessions);

  // Analyze behavior
  const succeeded = results.filter((r) => r.status === 'fulfilled').length;
  const queued = results.filter(
    (r) => r.status === 'rejected' && r.reason.code === 'QUEUED',
  ).length;
  const rejected = results.filter(
    (r) => r.status === 'rejected' && r.reason.code === 'POOL_EXHAUSTED',
  ).length;

  expect(succeeded).toBe(config.maxBrowsers);
  expect(queued + rejected).toBe(config.maxBrowsers);

  // Test recovery
  await runner.releaseAllSessions();
  const recoverySession = await runner.createSession();
  expect(recoverySession).toBeDefined();
});

2.3 Memory Pressure Testing

Test Scenarios

interface MemoryPressureTest {
  name: string;
  scenario: {
    baseMemoryPressure: number; // MB
    incrementalPressure: number; // MB per minute
    targetPressure: number; // MB
    browserActions: Array<{
      type: string;
      memoryImpact: 'low' | 'medium' | 'high';
    }>;
  };
  expectations: {
    gracefulDegradation: boolean;
    memoryRecovery: boolean;
    noOOM: boolean;
  };
}

2.4 CPU Saturation Testing

test('CPU Saturation Handling', async () => {
  const cpuIntensiveTasks = [
    {
      name: 'heavy-dom-manipulation',
      action: async (page) => {
        await page.evaluate(() => {
          // Create and manipulate 10000 DOM elements
          for (let i = 0; i < 10000; i++) {
            const div = document.createElement('div');
            div.innerHTML = `<span>Item ${i}</span>`;
            document.body.appendChild(div);
          }
        });
      },
    },
    {
      name: 'complex-calculations',
      action: async (page) => {
        await page.evaluate(() => {
          // Perform CPU-intensive calculations
          let result = 0;
          for (let i = 0; i < 1000000; i++) {
            result += Math.sqrt(i) * Math.sin(i);
          }
          return result;
        });
      },
    },
  ];

  const results = await runner.saturateCPU({
    tasks: cpuIntensiveTasks,
    concurrency: 100,
    duration: '10m',
  });

  expect(results.throttling.activated).toBe(true);
  expect(results.performance.degradation).toBeLessThan(50); // %
});

3. Performance Benchmarking

3.1 Action Execution Times

Benchmark Suite

export const actionBenchmarks = {
  navigate: {
    scenarios: [
      { url: 'https://example.com', expected: 500 },
      { url: 'https://heavy-spa.com', expected: 2000 },
      { url: 'https://media-rich.com', expected: 3000 },
    ],
    metrics: ['firstPaint', 'domContentLoaded', 'networkIdle'],
  },

  click: {
    scenarios: [
      { selector: 'button', expected: 50 },
      { selector: 'a.dynamic', expected: 100 },
      { selector: '[data-testid="submit"]', expected: 75 },
    ],
    metrics: ['clickLatency', 'eventPropagation'],
  },

  type: {
    scenarios: [
      { text: 'short', expected: 100 },
      { text: 'a'.repeat(1000), expected: 500 },
      { text: 'unicode 测试 🎯', expected: 200 },
    ],
    metrics: ['typeLatency', 'inputValidation'],
  },

  screenshot: {
    scenarios: [
      { fullPage: false, expected: 200 },
      { fullPage: true, expected: 1000 },
      { clip: { x: 0, y: 0, width: 1920, height: 1080 }, expected: 300 },
    ],
    metrics: ['captureTime', 'encodingTime', 'fileSize'],
  },
};

3.2 Session Lifecycle Performance

interface SessionLifecycleBenchmark {
  phases: {
    creation: {
      authentication: number;
      tokenGeneration: number;
      sessionStore: number;
      total: number;
    };
    browserAssignment: {
      poolCheck: number;
      browserLaunch?: number;
      contextCreation: number;
      total: number;
    };
    destruction: {
      browserCleanup: number;
      sessionCleanup: number;
      resourceRelease: number;
      total: number;
    };
  };
}

3.3 Cross-Protocol Performance Comparison

const protocols = ['rest', 'websocket', 'grpc', 'mcp'];
const operations = ['create', 'navigate', 'click', 'screenshot', 'destroy'];

const benchmarkMatrix = await runner.compareProtocols({
  protocols,
  operations,
  iterations: 1000,
  concurrency: 10,
});

// Generate comparison report
generateReport({
  title: 'Protocol Performance Comparison',
  data: benchmarkMatrix,
  metrics: ['latency', 'throughput', 'cpu', 'memory'],
});

4. Scalability Testing

4.1 Horizontal Scaling

Test Configuration

horizontal_scaling_test:
  infrastructure:
    nodes: [1, 2, 4, 8, 16]
    load_balancer: 'round-robin'
    session_affinity: true

  load_pattern:
    users: [100, 500, 1000, 2000, 5000]
    duration: '30m'

  measurements:
    - throughput_per_node
    - latency_distribution
    - resource_utilization
    - scaling_efficiency

4.2 Browser Pool Scaling

test('Dynamic Browser Pool Scaling', async () => {
  const poolManager = new OptimizedBrowserPool({
    initialSize: 5,
    maxSize: 50,
    scalingStrategy: 'aggressive',
    scalingThresholds: {
      scaleUp: 0.8,
      scaleDown: 0.3,
      emergency: 0.95,
    },
  });

  const loadGenerator = new LoadGenerator({
    pattern: 'sine-wave',
    period: '5m',
    minLoad: 10,
    maxLoad: 200,
  });

  const results = await loadGenerator.run({
    duration: '30m',
    executor: async (load) => {
      const actions = [];
      for (let i = 0; i < load; i++) {
        actions.push(
          poolManager.executeAction({
            type: 'navigate',
            url: 'https://example.com',
          }),
        );
      }
      return Promise.all(actions);
    },
  });

  // Analyze scaling behavior
  expect(results.scaling.efficiency).toBeGreaterThan(0.85);
  expect(results.scaling.overshoots).toBeLessThan(5);
  expect(results.scaling.undershoots).toBeLessThan(5);
});

4.3 Session Store Performance

Redis vs In-Memory Comparison

const storeImplementations = [
  { name: 'in-memory', store: new InMemorySessionStore() },
  { name: 'redis-single', store: new RedisSessionStore({ mode: 'single' }) },
  { name: 'redis-cluster', store: new RedisSessionStore({ mode: 'cluster' }) },
];

for (const impl of storeImplementations) {
  test(`Session Store Performance - ${impl.name}`, async () => {
    const operations = [
      { type: 'create', weight: 0.2 },
      { type: 'read', weight: 0.5 },
      { type: 'update', weight: 0.2 },
      { type: 'delete', weight: 0.1 },
    ];

    const results = await runner.benchmarkStore({
      store: impl.store,
      operations,
      concurrency: 100,
      duration: '10m',
      sessionCount: 10000,
    });

    console.log(`${impl.name} Performance:`, {
      opsPerSecond: results.throughput,
      latencyP50: results.latency.p50,
      latencyP99: results.latency.p99,
      errorRate: results.errorRate,
    });
  });
}

4.4 WebSocket Connection Limits

test('WebSocket Connection Scaling', async () => {
  const connectionTargets = [100, 500, 1000, 5000, 10000];
  const results = [];

  for (const target of connectionTargets) {
    const testResult = await testWebSocketConnections({
      target,
      connectionsPerSecond: 50,
      messageRate: 10, // messages per second per connection
      duration: '5m',
    });

    results.push({
      target,
      achieved: testResult.successfulConnections,
      messageLatencyP95: testResult.latency.p95,
      cpuUsage: testResult.resources.cpu,
      memoryUsage: testResult.resources.memory,
      errors: testResult.errors,
    });
  }

  // Find breaking point
  const breakingPoint = results.find((r) => r.achieved < r.target * 0.95);
  console.log('WebSocket scaling limit:', breakingPoint);
});

5. Monitoring and Alerting

5.1 Real-time Metrics Collection

Metrics Architecture

export class PerformanceMetricsCollector {
  private metrics = {
    // Action Metrics
    actions: new Map<string, ActionMetrics>(),

    // System Metrics
    system: {
      cpu: new TimeSeriesMetric('cpu_usage'),
      memory: new TimeSeriesMetric('memory_usage'),
      diskIO: new TimeSeriesMetric('disk_io'),
      networkIO: new TimeSeriesMetric('network_io'),
    },

    // Browser Pool Metrics
    pool: {
      size: new GaugeMetric('pool_size'),
      utilization: new GaugeMetric('pool_utilization'),
      queueLength: new GaugeMetric('queue_length'),
      acquisitionTime: new HistogramMetric('acquisition_time'),
    },

    // Session Metrics
    sessions: {
      active: new GaugeMetric('active_sessions'),
      created: new CounterMetric('sessions_created'),
      destroyed: new CounterMetric('sessions_destroyed'),
      lifetime: new HistogramMetric('session_lifetime'),
    },
  };

  collect(): void {
    // Collect metrics every second
    setInterval(() => {
      this.collectSystemMetrics();
      this.collectPoolMetrics();
      this.collectSessionMetrics();
      this.publishMetrics();
    }, 1000);
  }
}

5.2 Performance Degradation Detection

export class PerformanceAnomalyDetector {
  private baselines = new Map<string, BaselineMetrics>();
  private detectors = {
    latency: new LatencyAnomalyDetector({
      sensitivity: 2.5, // standard deviations
      windowSize: 300, // 5 minutes
    }),

    errorRate: new ErrorRateDetector({
      threshold: 0.05, // 5%
      windowSize: 60, // 1 minute
    }),

    resource: new ResourceAnomalyDetector({
      cpuThreshold: 0.85,
      memoryThreshold: 0.9,
      sustainedDuration: 30, // seconds
    }),
  };

  async detectAnomalies(metrics: MetricsSnapshot): Promise<Anomaly[]> {
    const anomalies: Anomaly[] = [];

    // Check each detector
    for (const [name, detector] of Object.entries(this.detectors)) {
      const detected = await detector.analyze(metrics);
      if (detected) {
        anomalies.push({
          type: name,
          severity: detected.severity,
          metric: detected.metric,
          value: detected.value,
          threshold: detected.threshold,
          timestamp: new Date(),
        });
      }
    }

    return anomalies;
  }
}

5.3 SLA Monitoring

export interface SLATarget {
  metric: string;
  target: number;
  window: string; // e.g., '5m', '1h', '24h'
  calculation: 'average' | 'percentile' | 'max';
  percentile?: number; // if calculation is percentile
}

export const defaultSLAs: SLATarget[] = [
  {
    metric: 'api.latency',
    target: 1000, // 1 second
    window: '5m',
    calculation: 'percentile',
    percentile: 95,
  },
  {
    metric: 'browser.acquisition_time',
    target: 2000, // 2 seconds
    window: '5m',
    calculation: 'percentile',
    percentile: 99,
  },
  {
    metric: 'system.availability',
    target: 99.9, // 99.9%
    window: '24h',
    calculation: 'average',
  },
  {
    metric: 'error.rate',
    target: 1, // 1%
    window: '1h',
    calculation: 'average',
  },
];

5.4 Alert Configuration

alerts:
  - name: 'High API Latency'
    condition: 'api.latency.p95 > 2000'
    duration: '5m'
    severity: 'warning'
    notifications:
      - slack: '#ops-alerts'
      - pagerduty: 'performance-team'

  - name: 'Browser Pool Exhaustion'
    condition: 'pool.utilization > 0.9 AND queue.length > 10'
    duration: '2m'
    severity: 'critical'
    notifications:
      - slack: '#ops-critical'
      - pagerduty: 'on-call'
      - email: 'engineering@company.com'

  - name: 'Memory Leak Detected'
    condition: 'memory.growth_rate > 0.05' # 5% per hour
    duration: '30m'
    severity: 'warning'
    notifications:
      - slack: '#engineering'
      - jira: 'create-ticket'

5.5 Performance Dashboard

export const performanceDashboard = {
  name: 'Puppeteer-MCP Performance',
  refresh: '10s',
  panels: [
    {
      title: 'Request Rate',
      type: 'graph',
      metrics: ['api.requests.rate'],
      aggregation: 'sum',
    },
    {
      title: 'Latency Distribution',
      type: 'heatmap',
      metrics: ['api.latency'],
      buckets: [100, 250, 500, 1000, 2000, 5000],
    },
    {
      title: 'Browser Pool Status',
      type: 'gauge',
      metrics: ['pool.size', 'pool.active', 'pool.idle', 'pool.queued'],
    },
    {
      title: 'Error Rate',
      type: 'singlestat',
      metric: 'error.rate',
      thresholds: [
        { value: 0.01, color: 'green' },
        { value: 0.05, color: 'yellow' },
        { value: 0.1, color: 'red' },
      ],
    },
    {
      title: 'Resource Usage',
      type: 'graph',
      metrics: ['system.cpu', 'system.memory', 'system.handles'],
      yAxis: 'percentage',
    },
  ],
};

6. Chaos Engineering

6.1 Network Failures and Timeouts

export class NetworkChaosTests {
  async testNetworkLatency() {
    const scenarios = [
      { latency: 100, jitter: 20 },
      { latency: 500, jitter: 100 },
      { latency: 2000, jitter: 500 },
    ];

    for (const scenario of scenarios) {
      await this.injectNetworkLatency(scenario);
      const results = await this.runWorkload();
      await this.removeNetworkLatency();

      this.assertGracefulDegradation(results);
    }
  }

  async testPacketLoss() {
    const lossRates = [1, 5, 10, 25]; // percentages

    for (const rate of lossRates) {
      await this.injectPacketLoss(rate);
      const results = await this.runWorkload();
      await this.removePacketLoss();

      expect(results.successRate).toBeGreaterThan(1 - rate / 100 - 0.1);
    }
  }

  async testNetworkPartition() {
    // Simulate network partition between services
    await this.createPartition(['api-server'], ['browser-pool']);

    const results = await this.runWorkload();

    // System should detect partition and activate fallbacks
    expect(results.fallbackActivated).toBe(true);
    expect(results.dataConsistency).toBe(true);

    await this.healPartition();
  }
}

6.2 Browser Crashes and Recovery

export class BrowserChaosTests {
  async testRandomBrowserCrashes() {
    const chaos = new ChaosMonkey({
      target: 'browser-processes',
      probability: 0.1, // 10% chance per minute
      action: 'kill-process',
    });

    chaos.start();

    const results = await this.runWorkload({
      duration: '30m',
      load: 100,
    });

    chaos.stop();

    // Assert recovery behavior
    expect(results.crashedBrowsers).toBeGreaterThan(0);
    expect(results.recoveredSessions).toBe(results.crashedBrowsers);
    expect(results.dataLoss).toBe(0);
    expect(results.averageRecoveryTime).toBeLessThan(5000); // 5 seconds
  }

  async testMemoryExhaustion() {
    const chaos = new MemoryChaos({
      target: 'browser-process',
      pattern: 'gradual-leak',
      rate: '100MB/minute',
    });

    const monitor = this.startMonitoring();
    chaos.start();

    // Wait for detection and remediation
    await this.waitForCondition(() => monitor.getMetric('browser.recycled') > 0);

    chaos.stop();

    // Verify automatic recycling worked
    expect(monitor.getMetric('browser.oom_kills')).toBe(0);
    expect(monitor.getMetric('browser.recycled')).toBeGreaterThan(0);
  }
}

6.3 Service Restart Scenarios

export class ServiceRestartTests {
  async testRollingRestart() {
    const services = ['api-1', 'api-2', 'api-3'];

    for (const service of services) {
      // Start monitoring before restart
      const monitor = this.startServiceMonitor();

      // Restart service
      await this.restartService(service);

      // Verify no requests lost
      const stats = monitor.getStats();
      expect(stats.droppedRequests).toBe(0);
      expect(stats.maxLatency).toBeLessThan(5000);

      // Wait for service to be healthy
      await this.waitForHealthy(service);
    }
  }

  async testSimultaneousRestart() {
    // This should fail gracefully
    const services = ['api-1', 'api-2', 'api-3'];

    try {
      await Promise.all(services.map((s) => this.restartService(s)));
      fail('Should not allow simultaneous restart of all services');
    } catch (error) {
      expect(error.message).toContain('availability threshold');
    }
  }
}

6.4 Database Connection Failures

export class DatabaseChaosTests {
  async testConnectionPoolExhaustion() {
    // Exhaust database connections
    const connections = [];
    for (let i = 0; i < 100; i++) {
      connections.push(this.createLongRunningQuery());
    }

    // System should queue or reject new requests gracefully
    const results = await this.runWorkload();

    expect(results.errors.some((e) => e.code === 'DB_POOL_EXHAUSTED')).toBe(true);
    expect(results.successRate).toBeGreaterThan(0.5);

    // Clean up
    await Promise.all(connections.map((c) => c.cancel()));
  }

  async testDatabaseFailover() {
    // Simulate primary database failure
    await this.killDatabase('primary');

    const startTime = Date.now();
    let failoverComplete = false;

    // Monitor failover
    const interval = setInterval(async () => {
      const health = await this.checkHealth();
      if (health.database === 'replica-promoted') {
        failoverComplete = true;
        clearInterval(interval);
      }
    }, 100);

    // Wait for failover
    await this.waitForCondition(() => failoverComplete, 30000);

    const failoverTime = Date.now() - startTime;
    expect(failoverTime).toBeLessThan(10000); // 10 seconds
  }
}

6.5 Resource Exhaustion Recovery

export class ResourceExhaustionTests {
  async testCPUExhaustion() {
    const cpuBomb = new CPUBomb({
      cores: 'all',
      utilization: 95, // 95% CPU usage
    });

    cpuBomb.start();

    // System should activate throttling
    const results = await this.runWorkload({
      duration: '5m',
      expectedDegradation: true,
    });

    cpuBomb.stop();

    expect(results.throttlingActivated).toBe(true);
    expect(results.requestsDropped).toBe(0);
    expect(results.latencyIncrease).toBeLessThan(3); // 3x normal
  }

  async testDiskSpaceExhaustion() {
    const diskFiller = new DiskFiller({
      path: '/tmp',
      rate: '1GB/minute',
      target: '95%',
    });

    diskFiller.start();

    // Wait for disk space alerts
    await this.waitForAlert('disk-space-critical');

    // System should start cleanup
    const cleanupStarted = await this.waitForCondition(
      () => this.getMetric('cleanup.active') === true,
      60000,
    );

    diskFiller.stop();

    expect(cleanupStarted).toBe(true);
    expect(await this.getMetric('service.available')).toBe(true);
  }
}

Implementation Roadmap

Phase 1: Foundation (Weeks 1-2)

Set up performance testing infrastructure
Implement basic load testing framework
Create metric collection system
Establish baseline measurements

Phase 2: Load & Stress Testing (Weeks 3-4)

Implement load testing scenarios
Create stress testing suite
Develop automated test execution
Generate initial performance reports

Phase 3: Monitoring & Alerting (Weeks 5-6)

Deploy monitoring infrastructure
Configure performance dashboards
Set up alerting rules
Implement SLA tracking

Phase 4: Chaos Engineering (Weeks 7-8)

Implement chaos testing framework
Create failure injection tools
Run chaos experiments
Document recovery procedures

Phase 5: Optimization & Tuning (Weeks 9-10)

Analyze performance bottlenecks
Implement optimizations
Re-run performance tests
Create performance tuning guide

Performance Targets

Response Time Targets

Operation	P50	P95	P99
Session Creation	200ms	500ms	1s
Browser Acquisition	500ms	2s	5s
Navigate	300ms	1s	2s
Click	50ms	100ms	200ms
Type	100ms	200ms	500ms
Screenshot	200ms	500ms	1s
PDF Generation	1s	3s	5s

Throughput Targets

Metric	Target	Peak
Concurrent Sessions	1000	2000
Actions per Second	500	1000
Screenshots per Second	50	100
WebSocket Connections	5000	10000

Resource Targets

Resource	Normal	Alert	Critical
CPU Usage	< 60%	> 80%	> 95%
Memory Usage	< 70%	> 85%	> 95%
Pool Utilization	< 70%	> 85%	> 95%
Error Rate	< 0.1%	> 1%	> 5%

Availability Targets

Service Availability: 99.9% (43.2 minutes downtime/month)
Recovery Time Objective (RTO): < 5 minutes
Recovery Point Objective (RPO): < 1 minute
Mean Time To Recovery (MTTR): < 15 minutes

Security Testing for security performance impact
Operations Guide for performance monitoring setup
Architecture Overview for system design context
Development Workflow for performance testing integration

Conclusion

This comprehensive performance testing strategy provides a structured approach to validating and optimizing Puppeteer MCP’s performance. The framework ensures enterprise-grade reliability and performance while maintaining flexibility to handle diverse automation workloads.

Performance Testing Strategy

Performance Testing Strategy

System Architecture Overview

Key Performance Metrics

1. Load Testing Strategy

1.1 Concurrent Session Creation and Management

Test Scenarios

Implementation Example

1.2 Multiple Browser Contexts

Test Scenarios

1.3 High-Frequency Action Execution

Test Matrix

Implementation

1.4 Browser Pool Optimization Under Load

Test Scenarios

1.5 Memory Usage and Resource Cleanup

Memory Leak Detection

2. Stress Testing

2.1 Maximum Concurrent Sessions

Test Plan

2.2 Browser Pool Exhaustion

Implementation

2.3 Memory Pressure Testing

Test Scenarios

2.4 CPU Saturation Testing

3. Performance Benchmarking

3.1 Action Execution Times

Benchmark Suite

3.2 Session Lifecycle Performance

3.3 Cross-Protocol Performance Comparison

4. Scalability Testing

4.1 Horizontal Scaling

Test Configuration

4.2 Browser Pool Scaling

4.3 Session Store Performance

Redis vs In-Memory Comparison

4.4 WebSocket Connection Limits

5. Monitoring and Alerting

5.1 Real-time Metrics Collection

Metrics Architecture

5.2 Performance Degradation Detection

5.3 SLA Monitoring

5.4 Alert Configuration

5.5 Performance Dashboard

6. Chaos Engineering

6.1 Network Failures and Timeouts

6.2 Browser Crashes and Recovery

6.3 Service Restart Scenarios

6.4 Database Connection Failures

6.5 Resource Exhaustion Recovery

Implementation Roadmap

Phase 1: Foundation (Weeks 1-2)

Phase 2: Load & Stress Testing (Weeks 3-4)

Phase 3: Monitoring & Alerting (Weeks 5-6)

Phase 4: Chaos Engineering (Weeks 7-8)

Phase 5: Optimization & Tuning (Weeks 9-10)

Performance Targets

Response Time Targets

Throughput Targets

Resource Targets

Availability Targets

Related Documentation

Conclusion