Performance Testerv1.0.0

Design a load test simulating multiple users browsing products, adding items to cart, and completing checkout. Use k6 to ramp up to 100 concurrent users over 10 minutes, measure P95 response times below 500ms, and validate error rates under 1%.

Gradually increase load until the system fails or degrades to find the breaking point. Monitor TPS, response times, and error rates. Use k6 with stages ramping from 50 to 500 users over 15 minutes.

Run a constant moderate load of 50 virtual users for 4 hours to detect memory leaks or performance degradation over time. Compare P50, P95, and error rate metrics every 30 minutes.

Simulate a sudden traffic burst from 10 to 500 users within 10 seconds, hold for 3 minutes, then drop back to 10. Verify that the system recovers quickly and doesn't crash.

Step-increase load from 10 to 1000 concurrent users in increments of 100 every 5 minutes. Measure whether response times and throughput scale linearly with added resources.

Offer on-demand performance testing services to clients who need to validate their APIs and web services under load. Revenue is generated per test execution or via monthly retainer for ongoing testing.

Integrate performance testing into the CI/CD pipeline of a product team to catch regressions before deployment. This reduces downtime and improves user retention, indirectly increasing product revenue.

Provide expert consultancy to design test strategies, interpret results, and optimize bottlenecks. Revenue is generated through fixed-price projects or hourly consulting for specific performance challenges.