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Performance testing process

The goal is consistent, scalable and reliable performance under the expected concurrent user load before the first production deployment. I use Postman for API checks and distributed JMeter for large-scale runs.

1. Identify scenarios and targets

   Define test objectives, key user actions and target load levels.

2. Design scripts from real journeys

   Create performance scripts based on realistic user journeys.

3. Configure the environment and load generators

   Set up the test environment and distribute load generators.

4. Execute load, spike and stress runs

   Run the tests and capture response metrics and logs.

5. Collect the results

   Gather throughput, latency, resource and error-rate metrics.

6. Analyze trends against SLOs

   Review data trends, thresholds and service level objectives.

7. Locate bottlenecks

   Find the system, database or API constraints that hurt performance.

8. Optimize and re-run

   Apply optimizations and re-run to confirm the improvement.