Skip to main content

Performance Testing with JMeter

A practical guide on how to approach performance testing using JMeter — from setup to automation.

Basics

#TopicDescription
1Install ToolsJMeter, Fiddler, Blazemeter and optional tools
2Understand Requirements and FlowWhat to ask before you start
3JMeter Elements OverviewUnderstanding the building blocks
4RecordingRecording with Fiddler and Blazemeter
5Correlation and ParameterizationHandling dynamic values and test data
6Script EnhancementStructuring and hardening the script
7DebugValidating the script works

Applying Load

#TopicDescription
8Design Load ModelUsers, ramp-up, duration, think time
9Execute and Analyze ResultsRunning tests and reading results
10ReportingCommunicating findings

Advanced

#TopicDescription
11Backend Listener (InfluxDB + Grafana)Real-time monitoring
12Distributed TestingScaling with multiple machines
13Test Data Preparation with PythonGenerating and distributing test data
14Automation with Batch FilesAutomating execution and data distribution
15OCI Linux Slave SetupHands-on guide for setting up JMeter slaves on OCI

Appendix

TopicDescription
Future / To ExploreTopics for future learning