Performance Testing Concepts
What performance testing really is, the five types every QA must know, when to test, real-world war stories, and why functional tests alone cannot save you from production meltdowns
Free structured course
Learn Performance Testing through practical explanations, code examples, quizzes, and hands-on exercises designed for QA engineers.
What performance testing really is, the five types every QA must know, when to test, real-world war stories, and why functional tests alone cannot save you from production meltdowns
Response time, throughput, error rate, percentiles, think time, concurrent users, resource utilization -- every number you need to read, report, and set SLAs on
Install Apache JMeter, understand the GUI, build your first test plan with thread groups and HTTP samplers, run it, and read results like a pro
Master every JMeter component -- Thread Groups, Samplers, Config Elements, Timers, Assertions, Listeners, Pre/Post Processors, and Logic Controllers -- with real-world examples, interview prep, and hands-on exercises
Master the two pillars of realistic load testing -- correlation (capturing dynamic server values like session IDs, CSRF tokens, and auth tokens) and parameterization (feeding unique data to each virtual user via CSV files, variables, and functions). Learn Regular Expression, JSON, CSS extractors, CSV Data Set Config, JMeter functions, and combine them in end-to-end flows.
When one machine is not enough, you go distributed. Learn why a single load generator hits a ceiling, how JMeter master-slave architecture works under the hood, step-by-step remote testing setup (jmeter.properties, RMI, SSL, firewalls), command-line flags (-r, -R), cloud-based alternatives (AWS, Docker, BlazeMeter, k6 Cloud), result aggregation from multiple nodes, network and bandwidth math, capacity planning formulas, and real-world troubleshooting for connection-refused and SSL errors.
Why Gatling exists, how it differs from JMeter, how to install it, the Scala/Java DSL, simulation structure, feeders, checks, injection profiles, reports, the Recorder, and CI/CD integration with Maven
Master the art of reading JMeter and Gatling reports, correlating metrics to find the real bottleneck, using APM tools for deep visibility, and presenting findings that actually get fixed
Model workloads from production traffic, build production-like environments, define pass/fail criteria, create a performance test plan document, set performance budgets, integrate into CI, and communicate results to stakeholders -- the complete planning lifecycle before you fire a single request
The capstone chapter -- bring everything together by planning, building, executing, and reporting a complete load test suite against the Shopping Portal. Cover load, stress, and spike tests, then analyze results and present findings like a professional.