Part 10: Continuous Performance Testing & CI/CD Integration (Performance Testing Revision Cheat Sheet)
📌 Purpose
Integrating performance testing into CI/CD pipelines ensures that performance issues are detected early and continuously, not just before release.
🎯 Key Concepts
-
Shift-Left Testing
-
Incorporate performance tests in development & QA phases.
-
Detect bottlenecks before production deployment.
-
-
Automated Test Execution
-
Use CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).
-
Trigger performance tests on build, merge, or scheduled intervals.
-
Include baseline and regression tests.
-
-
Parameterized & Scalable Tests
-
Use environment variables or config files for multiple environments (dev, QA, staging).
-
Enable dynamic scaling for cloud-based load generators.
-
-
Integration with Monitoring & Reporting
-
Push results to dashboards (Grafana, Kibana, Dynatrace).
-
Compare metrics against baseline and SLA thresholds.
-
Alert teams on performance regressions.
-
-
Performance Regression Testing
-
Validate new changes do not degrade system performance.
-
Maintain historical performance data for trend analysis.
-
-
Continuous Feedback Loop
-
Developers, SREs, and testers receive actionable feedback.
-
Allows rapid remediation and optimization cycles.
-
🛠️ Deliverables
-
Automated performance tests in CI/CD pipelines.
-
Baseline vs regression performance reports.
-
Alerts for SLA breaches or resource anomalies.
-
Documentation of trends, fixes, and lessons learned.
Comments
Post a Comment