Part 6: Performance and Load Testing

Introduction

Performance testing ensures your application handles expected load and performs well under stress. In my TypeScript microservices, performance testing has prevented production disastersβ€”catching bottlenecks, memory leaks, and scalability issues before they affect users.

This part covers practical performance and load testing using k6, a modern load testing tool with excellent TypeScript support.

Why Performance Testing?

Performance testing answers critical questions:

  • How many concurrent users can my system handle?

  • What's the response time under load?

  • Where are the bottlenecks?

  • Will my system scale?

  • Do we have memory leaks?

Real Impact

From my experience:

  • Prevented outages: Found database connection pool exhaustion before launch

  • Improved UX: Identified slow API endpoints affecting user experience

  • Cost optimization: Discovered inefficient queries costing unnecessary resources

  • Capacity planning: Determined infrastructure needs before traffic spikes

Types of Performance Testing

1. Load Testing

Testing system behavior under expected load.

2. Stress Testing

Testing system behavior beyond normal capacity.

3. Spike Testing

Testing system response to sudden traffic increases.

4. Soak Testing

Testing system stability over extended periods.

5. Scalability Testing

Testing how system scales with increased load.

k6 for Load Testing

k6 is my go-to tool for load testing TypeScript microservices.

Installation:

TypeScript support:

Basic Load Test

load-tests/user-api.test.ts:

Run the test:

Realistic User Scenarios

load-tests/ecommerce-flow.test.ts:

Stress Testing

load-tests/stress-test.test.ts:

Spike Testing

load-tests/spike-test.test.ts:

Soak Testing

load-tests/soak-test.test.ts:

Database Performance Testing

load-tests/database-test.test.ts:

Performance Benchmarking

TypeScript benchmark tests:

Memory Leak Detection

load-tests/memory-leak-test.test.ts:

Running Load Tests in CI/CD

GitHub Actions workflow:

Best Practices

1. Start Small, Scale Up

2. Use Realistic Data

3. Monitor During Tests

  • CPU usage

  • Memory usage

  • Database connections

  • Response times

  • Error rates

4. Test One Thing at a Time

Key Takeaways

  1. Performance testing prevents production issues - Find bottlenecks early

  2. k6 is excellent for modern load testing - TypeScript support, powerful metrics

  3. Test realistic user scenarios - Not just individual endpoints

  4. Different test types serve different purposes - Load, stress, spike, soak

  5. Set clear thresholds - Define what "good performance" means

  6. Monitor during tests - Watch system metrics

  7. Run tests regularly - Catch performance regressions early

What's Next?

In Part 7: Test Automation and CI/CD, we'll cover:

  • Continuous testing in CI/CD pipelines

  • Test parallelization

  • Test reporting and coverage

  • Automated deployment testing

  • Testing strategies for microservices


This article is part of the Software Testing 101 series.

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