Performance Test Template

Template

# [Project Name] Performance Test Plan

## Document Control
- **Test Plan ID:** PT-[YYYYMMDD]-[Sequential Number]
- **Version:** [X.Y.Z]
- **Status:** [Draft/In Review/Active]
- **Owner:** [Team/Individual]
- **Last Updated:** [YYYY-MM-DD]
- **Next Review:** [YYYY-MM-DD]

## Test Overview

### Test Objectives
- [Define performance metrics]
- [Establish baseline performance]
- [Identify bottlenecks]
- [Validate scalability]
- [Measure resource utilization]

### Test Environment
- **Hardware:**
  - CPU: [Specifications]
  - Memory: [Specifications]
  - Storage: [Specifications]
- **Network:**
  - Bandwidth: [Specifications]
  - Latency: [Specifications]
- **Database:**
  - Type: [Database type]
  - Version: [Version]
  - Configuration: [Key settings]
- **External Dependencies:**
  - [Service 1]: [Version]
  - [Service 2]: [Version]
- **Monitoring Tools:**
  - [Tool 1]: [Purpose]
  - [Tool 2]: [Purpose]

## Test Scenarios

### 1. Load Testing
```javascript
import { check } from 'k6';
import http from 'k6/http';

export const options = {
  stages: [
    { duration: '5m', target: 100 },   // Ramp up to 100 users
    { duration: '10m', target: 100 },  // Stay at 100 users
    { duration: '5m', target: 0 },     // Ramp down to 0 users
  ],
  thresholds: {
    http_req_duration: ['p(95)<500'], // 95% of requests must complete below 500ms
    http_req_failed: ['rate<0.01'],   // Less than 1% of requests can fail
  },
};

export default function () {
  const response = http.get('https://api.example.com/users');
  check(response, {
    'is status 200': (r) => r.status === 200,
    'response time < 500ms': (r) => r.timings.duration < 500,
  });
}

2. Stress Testing

import { check } from 'k6';
import http from 'k6/http';

export const options = {
  stages: [
    { duration: '2m', target: 100 },   // Ramp up
    { duration: '5m', target: 500 },   // Ramp up to stress point
    { duration: '2m', target: 1000 },  // Peak load
    { duration: '5m', target: 100 },   // Scale down
    { duration: '2m', target: 0 },     // Scale down to 0
  ],
};

export default function () {
  const response = http.get('https://api.example.com/users');
  check(response, {
    'is status 200': (r) => r.status === 200,
  });
}

3. Endurance Testing

import { check } from 'k6';
import http from 'k6/http';

export const options = {
  stages: [
    { duration: '1h', target: 100 },   // Ramp up
    { duration: '8h', target: 100 },   // Stay at load
    { duration: '1h', target: 0 },     // Scale down
  ],
};

export default function () {
  const response = http.get('https://api.example.com/users');
  check(response, {
    'is status 200': (r) => r.status === 200,
  });
}

Performance Metrics

Key Metrics

Metric	Target	Threshold
Response Time	[Target]	[Threshold]
Throughput	[Target]	[Threshold]
Error Rate	[Target]	[Threshold]
CPU Usage	[Target]	[Threshold]
Memory Usage	[Target]	[Threshold]
Network I/O	[Target]	[Threshold]

Custom Metrics

Metric	Description	Collection Method	Target
[Metric 1]	[Description]	[Method]	[Target]
[Metric 2]	[Description]	[Method]	[Target]

Test Data

Data Requirements

• [Data set 1 description]
• [Data set 2 description]

Data Generation

// Data generation script example
function generateTestData() {
  return {
    username: `user${Date.now()}`,
    email: `user${Date.now()}@example.com`,
    payload: Buffer.alloc(1024).fill('x').toString()
  };
}

Monitoring and Analysis

Monitoring Setup

• Infrastructure Monitoring:
• Application Monitoring:
• Log Aggregation:

Analysis Methods

• Statistical Analysis:
  • [Method 1]
  • [Method 2]
• Reporting:
  • [Report 1]
  • [Report 2]

Results and Reporting

Performance Test Report

Test Case	Result	Analysis	Action Items
[Test 1]	[Result]	[Analysis]	[Actions]
[Test 2]	[Result]	[Analysis]	[Actions]

Recommendations

1. [Recommendation 1]
2. [Recommendation 2]

Appendix

Reference Documents

• [Document 1]
• [Document 2]

Support Information

• [Contact 1]
• [Contact 2]

## Usage Guide

### When to Use
- New feature performance testing
- System baseline establishment
- Capacity planning
- Scalability validation
- Production readiness testing

### Best Practices

1. **Test Planning**
   - Define clear objectives
   - Set realistic targets
   - Consider all dependencies
   - Plan for data cleanup
   - Schedule during off-peak

2. **Test Execution**
   - Start with smoke tests
   - Gradually increase load
   - Monitor all components
   - Collect comprehensive metrics
   - Document anomalies

3. **Data Management**
   - Use representative data
   - Clean up test data
   - Version control scripts
   - Secure sensitive data
   - Manage data volume

4. **Analysis**
   - Baseline comparison
   - Trend analysis
   - Root cause analysis
   - Performance modeling
   - Recommendations

### Example

```md
# User Authentication Service Performance Test Plan

## Document Control
- **Test Plan ID:** PT-20250204-001
- **Version:** 1.0.0
- **Status:** Active
- **Owner:** Performance Testing Team
- **Last Updated:** 2025-02-04
- **Next Review:** 2025-05-04

## Test Overview

### Test Objectives
- Validate login endpoint handles 1000 concurrent users
- Ensure 95th percentile response time under 500ms
- Verify token generation scales linearly
- Monitor CPU and memory utilization
- Identify potential bottlenecks

### Test Environment
- **Hardware:**
  - CPU: 8 vCPUs, Intel Xeon E5-2686 v4
  - Memory: 32GB RAM
  - Storage: 100GB SSD
- **Network:**
  - Bandwidth: 1 Gbps
  - Latency: <1ms within datacenter
- **Database:**
  - Type: PostgreSQL
  - Version: 15.2
  - Configuration: max_connections=200, shared_buffers=8GB
- **External Dependencies:**
  - Redis: 7.0.8 (Session Store)
  - Kafka: 3.4.0 (Event Bus)
- **Monitoring Tools:**
  - Grafana: Metrics visualization
  - Prometheus: Metrics collection
  - ELK Stack: Log analysis

## Test Scenarios

### 1. Load Testing
```javascript
import { check } from 'k6';
import http from 'k6/http';

export const options = {
  stages: [
    { duration: '5m', target: 1000 },  // Ramp up to 1000 users
    { duration: '30m', target: 1000 }, // Stay at 1000 users
    { duration: '5m', target: 0 },     // Ramp down
  ],
  thresholds: {
    http_req_duration: ['p(95)<500'], // 95% under 500ms
    http_req_failed: ['rate<0.01'],   // Less than 1% failures
  },
};

export default function () {
  const payload = JSON.stringify({
    email: '[email protected]',
    password: 'SecurePass123!'
  });
  
  const params = {
    headers: {
      'Content-Type': 'application/json',
    },
  };
  
  const response = http.post('https://api.example.com/v1/auth/login', payload, params);
  
  check(response, {
    'status is 200': (r) => r.status === 200,
    'has token': (r) => r.json('token') !== undefined,
    'response time OK': (r) => r.timings.duration < 500,
  });
}

Performance Metrics

Key Metrics

Metric	Target	Threshold
Response Time	200ms avg	500ms (95th)
Throughput	1000 rps	800 rps min
Error Rate	0.1%	1% max
CPU Usage	60% avg	80% max
Memory Usage	24GB	28GB max
Network I/O	500 Mbps	800 Mbps max

Results and Reporting

Performance Test Report

Test Case	Result	Analysis	Action Items
Login Load Test	Pass	Response time p95 = 450ms	Monitor Redis cache size
Token Generation	Pass	Linear scaling to 1000 rps	Add rate limiting

Recommendations

1. Implement Redis cluster for session management
2. Add connection pooling for database
3. Optimize token generation algorithm
4. Implement request caching for repeat login attempts