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Performance Testing with JMeter

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

Basics

# Topic Description
1 Install Tools JMeter, Fiddler, Blazemeter and optional tools
2 Understand Requirements and Flow What to ask before you start
3 JMeter Elements Overview Understanding the building blocks
4 Recording Recording with Fiddler and Blazemeter
5 Correlation and Parameterization Handling dynamic values and test data
6 Script Enhancement Structuring and hardening the script
7 Debug Validating the script works

Applying Load

# Topic Description
8 Design Load Model Users, ramp-up, duration, think time
9 Execute and Analyze Results Running tests and reading results
10 Reporting Communicating findings

Advanced

# Topic Description
11 Backend Listener (InfluxDB + Grafana) Real-time monitoring
12 Distributed Testing Scaling with multiple machines
13 Test Data Preparation with Python Generating and distributing test data
14 Automation with Batch Files Automating execution and data distribution
15 OCI Linux Slave Setup Hands-on guide for setting up JMeter slaves on OCI

Appendix

Topic Description
Future / To Explore Topics for future learning