Performance Testing Automation
Automate performance testing with JMeter, k6, and cloud-based solutions. Learn load testing, stress testing, and performance monitoring for scalable applications.
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Shift from "testing" to "engineering". Master k6 for backend load, Playwright for frontend metrics, and learn to block deployments that violate Core Web Vitals standards.
1. Beyond Response Time
2. The Toolchain
3. Resilience
4. Conclusion
Master the math of performance. Learn to design realistic tests using k6 Stages, understand the difference between Open and Closed models, and diagnose bottlenecks like a pro.
1. The Physics of Performance
2. Designing the Test
3. Conclusion
Master the art of intentional destruction. Learn to identify system breaking points, prevent "Thundering Herds" with Jitter, and verify that your Circuit Breakers actually trip.
1. Beyond the Limit
2. Resilience Patterns
3. Conclusion
Master the art of endurance. Use Prometheus, Grafana, and Heap Dumps to find the "Staircase Pattern" of memory leaks and deeper resource exhaustion like File Descriptors.
1. The Long Haul
2. Finding the Leak
3. Conclusion
Master the physics of traffic surges. Learn to mitigate Kubernetes HPA lag, solve Serverless "Cold Starts", and implement Token Bucket rate limiting and Adaptive Concurrency.
1. Zero to Sixty
2. Surge Defenses
3. Conclusion
Unlock the full power of JMeter. Master Distributed Testing on Kubernetes, automate with Taurus, and generate professional HTML Dashboards.
1. The JMeter Engine
2. Scale & Automation
3. Conclusion
Step into the future. Master k6 for Protocol & Browser testing, build Hybrid Scenarios, and extend the engine with xk6-sql and xk6-browser.
1. Modern Scripting
2. Hybrid Testing & Extensions
3. Conclusion
Scale your testing to the globe. Master distributed load generation with k6 Cloud, measure real-user metrics (LCP/CLS) on BrowserStack/Sauce Labs, and simulate 5G network conditions.
1. The Load Swarm (Protocol)
2. The Real Device (Frontend)
3. Conclusion
Building the Command Center. Master OpenTelemetry (OTel), Google SRE Golden Signals, and "Burn Rate" Alerting to achieve true observability.
1. The Observability Stack
2. Advanced Alerting
3. Conclusion
Stop slow code from merging. Master the "Performance Gate" pattern using k6, Lighthouse CI, and Baseline Comparison to catch regressions in the Pull Request.