Sample K6 Performance Test Summary
Purpose: demonstrate how I summarize performance test results and convert metrics into release-readiness decisions. This sanitized sample uses illustrative values only and does not contain confidential system data.
Test Objective
Validate whether key API endpoints remain stable under expected concurrent usage and fail the pipeline when response-time or error-rate thresholds are exceeded.
Scenario
Application area: SAP-integrated finance API
Test type: load test
Tool: K6
Duration: 10 minutes
Virtual users: 50
Endpoint group: authentication, master data, invoice list, notification list
Thresholds
| Metric | Threshold | Reason |
|---|---|---|
| http_req_failed | < 1% | Keep user-facing failures low |
| http_req_duration p95 | < 1500 ms | Maintain responsive API behavior |
| http_req_duration p99 | < 3000 ms | Catch long-tail latency before release |
| checks | > 99% | Ensure responses are valid, not only fast |
Sample Result
| Metric | Result | Status |
|---|---|---|
| http_req_failed | 0.32% | Pass |
| p95 response time | 1.18 s | Pass |
| p99 response time | 2.74 s | Pass |
| checks | 99.4% | Pass |
Analysis
- The API passed the configured threshold for expected load.
- p99 was close to the 3-second limit, so this endpoint should remain monitored in the next release.
- No blocking release issue was found from this run.
Follow-up Recommendation
- Repeat the same test after major backend or SAP integration changes.
- Add separate stress test to identify breaking point.
- Compare result trend across builds, not only one execution.