
Understand performance testing basics and types, including load, peak load, stress, endurance, scalability, and volume tests, and learn about monitoring, memory leaks, high availability, and chaos engineering for resiliency.
Install Apache JMeter with Java JDK, configure JAVA_HOME and PATH, and launch via batch or jar. Set up HTTP proxy recording and TLS certificates for HTTPS traffic.
Explore the core structure of JMeter, from test plan and non-test elements to thread groups, samplers, and timers, and learn about request filtering, ramp up, assertions, and post-processor concepts.
IMPORTANT NOTE
This course contains recordings from live training sessions conducted for working professionals. As such, the content reflects a classroom-style teaching approach, including interactions, Q&A, and real-time explanations.
While all key topics are covered thoroughly, please be aware that:
The flow may not follow a traditional studio-recorded course format.
Some minor background noise or participant references may be present.
The focus remains on delivering strong conceptual understanding and tool usage.
If you're specifically looking for a polished, studio-style course, this may not meet your expectations.
However, if you prefer a natural, interactive, and practical learning style, you'll find this course highly valuable.
COURSE DESCRIPTION
This course is designed to take you from JMeter basics to mastering real-time performance testing using powerful tools like AppDynamics, BeanShell, InfluxDB, Grafana, and Jenkins.
You’ll start with the fundamentals of JMeter, learning how to build and run test plans. Then, step-by-step, you’ll explore advanced scripting, monitoring, reporting, and automation techniques used by top companies in real-world projects.
This hands-on course is packed with practical examples, real-time dashboards, integrations with CI/CD pipelines, and tips to prepare for performance testing job roles.
In this hands-on training, you will begin by mastering Apache JMeter, one of the most powerful open-source tools for load and performance testing. You’ll gain a strong foundation in creating test plans, configuring thread groups, analyzing results, and simulating real-world load scenarios.
As you progress, the course dives deeper into advanced scripting using BeanShell, extending your JMeter capabilities with dynamic data handling and custom logic. You’ll then learn how to monitor application performance with enterprise APM tools like AppDynamics, enabling you to pinpoint bottlenecks at the server and application level.
To build a modern performance monitoring pipeline, you'll integrate JMeter with InfluxDB and Grafana, enabling beautiful real-time dashboards for live test result visualization.
You’ll also learn how to set up Jenkins for CI/CD pipeline integration, automating your performance tests for consistent quality delivery across builds.