JMeter Performance Testing Basics to Master with BeanShell, Prometheus, Grafana, Jenkins, AppDynamics, Kubernetes, Docker & AI- Powered Testing

Teacher

“JMeter Performance Testing Basics to Master with BeanShell, Prometheus, Grafana, Jenkins, AppDynamics, Kubernetes, Docker & AI- Powered Testing” – Live Training

This course is designed to help you master JMeter Performance Testing from basics to advanced real-world implementation. You’ll start with core performance testing concepts and gradually move into enterprise-level tools and modern DevOps integrations.

You will learn how to design, execute, and analyze performance tests using Apache JMeter, including scripting with BeanShell for dynamic and complex scenarios. The course also covers monitoring and observability using Prometheus and Grafana, enabling you to visualize performance metrics effectively.

To prepare you for real industry environments, the course includes CI/CD integration using Jenkins, application performance monitoring with AppDynamics, and containerized performance testing using Docker and Kubernetes. You’ll also get introduced to AI-powered performance testing techniques to enhance test optimization, analysis, and decision-making.

By the end of this course, you’ll be confident in building scalable performance test frameworks and handling performance challenges in cloud-native and enterprise applications.

About the Instructor:

Vishnu M is an EX-IITian with 14+ years of extensive industry experience in Performance Testing, Performance Engineering, and AI-Driven Testing. He has worked on complex, large-scale enterprise applications, focusing on system scalability, reliability, optimization, and testing AI/LLM-based systems. His strong foundation in both traditional performance testing and modern AI testing technologies positions him as a trusted expert in next-generation quality engineering.

He brings strong hands-on expertise with industry-leading tools such as Apache JMeter, Micro Focus LoadRunner, AppDynamics, and Dynatrace. Vishnu also specializes in AI & LLM Testing, prompt validation, model behavior testing, Chaos Engineering, and advanced performance monitoring and observability. His ability to combine performance engineering, AI testing, and resilience testing helps learners understand how to test modern, intelligent, and highly scalable systems.

With an unmatched passion for teaching, Vishnu has 12+ years of technical training experience and has trained 700+ students over the last 5 years. His sessions are highly interactive, hands-on, and easy to follow, with a strong focus on real-time use cases and practical exercises. He has a natural talent for simplifying complex performance, AI, and observability concepts, making his training highly effective for both beginners and experienced professionals.

Sample Demo Video:

“JMeter Performance Testing Basics to Master with BeanShell, Prometheus, Grafana, Jenkins, AppDynamics, Kubernetes and Docker”-Demo session Video

“JMeter Performance Testing Basics to Master with BeanShell, Prometheus, Grafana, Jenkins, AppDynamics, Kubernetes and Docker”-Day 1 session Video

Live Sessions Price:

For LIVE sessions – Offer price after discount is 3~~00 USD 259 ~~USD~~~~ 109 USD Or ~~13000 INR~~ ~~12900 INR~~ 8900 Rupees

Enroll For Free Demo

✨ Recently, we have completed the demo sessions for our current batch. The next batch will be scheduled soon.

📌 To know more details and get complete information about the course, please register using the “Enroll for Free Demo” button, or you can directly reach out to us using the WhatsApp button below.

🙏 Thank you for your interest! Once the new batch date and time are finalized, we will get in touch with you.

What will I learn by the end of this course?

Understand performance testing concepts and different testing types
Install, configure, and work confidently with Apache JMeter
Create and enhance JMeter scripts using best practices
Handle dynamic values using correlation, parameterization, and regex
Implement realistic load scenarios with threads, ramp-up, and pacing
Execute tests in GUI and Non-GUI modes and generate HTML reports
Debug JMeter scripts and analyze performance results effectively
Integrate JMeter with Jenkins, AppDynamics, Grafana, Docker, and Kubernetes
Perform distributed load testing for large-scale applications
Use AI to generate scripts, optimize load setup, and analyze results faster

What student’s have to say about Vishnu:

I had enrolled for Jmeter course by Vishnu sir, this was a really great course for beginning the journey for any performance tester. Vishnu sir is a great teacher and has tried to clear the concepts of performance testing very thoroughly, quite satisfied with the course. Thanks to Vishnu sir and Isha training solutions! – Satanu Bagchi

Hey Vishnu, thank you so much for your sessions! Sorry I couldn’t join the last few sessions as my sleep schedule was a little messed up and I couldn’t wake up early for the class. Apologies for that! But thoroughly enjoyed all the other sessions. You’ve been very accommodative with all the queries and requests. Hoping to catch you and maybe some others in the next course. Good luck everyone!😊 – Praneetha Mandapati

It was pleasure meeting with you thru this learning session and get taught on each area what we have doubts in respective of syllabus. it would appreciable and once again thank you for your support and assistance further. 🙏🏻 – Devang

Hi @Vishnu Sir 2 Chaos Trainer thanks for all the wonderful insights you have provided throughout the sessions. It was always very lively and being back from my 2nd Maternity break I was somehow a bit less motivated and skeptical but all your classes really helped me brush things up real quick and also helped learning new things.. Will surely keep in touch 😊 – Ramya

Hi, The sessions were very great. Vishnu sir has excellent knowledge on Jmeter and Performance Engineering side. Doubts and queries were cleared properly in easy understanding. – Vivek Singh

Excellent Teaching – Kasthuraiah Bellamkonda

very good session, very composed trainer. – Pallavi khare

The training was really good ,I get to learn lot of new things like grafana,app dynamics . Vishnu sir expertise is very good he makes things very easy to understand. I will love to join more courses by him in near future. – Divya

The course was quite detailed and our trainer (Vishnu) was also cool in terms of his approach towards resolution.
I think its a “Value for your Money” kinda thing. I personally had very good prior knowledge, but I see they really cover very basic stuff as well. Overall a good experience. Thanks !! – Arpit Arora

Vishnu is someone who is more dedicated than you in the journey. – Prashant Singh

Excellent explanation of Performance testing topics. Very useful for beginners as well as for the experienced people to revise the basics – Micheal.s

This course is recommended for a beginner who wants to learn load runner and enter into performance testing background – Naveen

The teaching methods are very much interactive. you can learn alot from Vishnu sir. this is the best course i have come across regarding JMeter tool – Sachin

Vishnu has been really amazing as of now. He is undoubtedly one of the best instructor who can teach LoadRunner in such a great fashion. – Sneha

It is really a nice course which give a beautiful insights in multiple core areas. – Pooja

Salient Features:

40 Hours of Live Training along with recorded videos
Lifetime access to the recorded videos
Course Completion Certificate

Who can enroll in this course?

Manual Testers who want to move into Performance Testing
Automation Testers looking to add JMeter and performance skills
Performance Testers aiming to upskill with DevOps, Cloud, and AI tools
QA Engineers and QA Leads working on web and API applications
Developers who want to understand and improve application performance
DevOps, SRE, and Cloud Engineers involved in CI/CD pipelines
Freshers or beginners interested in starting a career in Performance Testing
Anyone looking to build real-world, job-ready performance engineering skills

This course will cover each of these topics in-depth, with hands-on exercises and real-world examples to help you master performance testing with JMeter and related technologies.

Highlights of this course:

JMeter: a popular open-source load testing tool
BeanShell: a scripting language used to extend JMeter’s functionality
Grafana: a visualization tool used to create dashboards and reports
Jenkins: a popular continuous integration and continuous deployment (CI/CD) tool
AppDynamics: a performance monitoring tool used to monitor applications
Kubernetes: a container orchestration system used to manage containerized applications
Docker: a containerization platform used to package and deploy applications

This course will cover each of these topics in-depth, with hands-on exercises and real-world examples to help you master performance testing with JMeter and related technologies.

Course syllabus:

Jmeter Introduction & Jmeter core concepts

JMeter History, Protocols Supported & Its Features
Java (JDK & JRE) Installation & Java Environment/System Variable (or Home Path) Setup
JMeter Download, Installation & Launching on Windows & Mac
HTTP(s) Protocol: – Request, Response, Headers, Request Methods, & Status Codes
Browser Developer Tool, HTTP/HTML Requests, Embedded Resources, Transaction (or User Action), Cookies, Cache, User Session
Types of HTTP Request Methods & CRUD Operations: – GET, POST, PUT & DELETE

Jmeter Scripting

Scripting using Docker, Kubernetes-based demo application running on microservices
JMeter’s 12 Major Elements (or Components)
Port & Proxy Server Setup & Recording from Different Browsers
Filtering Irrelevant Requests & Embedded Resources
JMeter Certificate Installation in Different Browsers, Recording, & Certificate Regeneration
HTTP(s) Test Script Recorder Element, Its Attributes, & Its Best Practices Settings
JMeter’s Recording Best Practices
Walk-through of JMeter’s Directory: – Various Files & Folders
JMeter’s Properties Files
JMeter Plugin Manager & Plugins Installation & Uninstallation
Scenarios Identification & Documentation for Performance Testing of a Web Application (Product Booking Scenario)
End to End Recording, Scripting & Enhancement of above Scenarios in JMeter
JMeter’s Best Practices for Scripting & Enhancement
Dynamic Values & Authorization Tokens, & Their Handling
Correlation & Parameterization
VUsers (or Threads), Ramp Up, Ramp Down, Loop, Think Time, Pacing
Regular Expression in JMeter
Regular Expression Extractor with Its Attributes in Detail
Realtime Use Cases Examples of Dynamic Values Extraction in JMeter
Beanshell scripting and challenges

Jmeter Test Execution

Test Execution in Non-GUI Mode with Its Best Practices
JMeter’s Java Heap Size Setting
Understanding Test Summarizer
JMeter HTML Dashboard Report Generation in Non-GUI Mode with Its Best Practices
Importance of JTL file
Changing Response Time Values to Seconds in HTML Report
Decreasing the Summarizer Time
Stopping Test Execution in Non-GUI Mode
Test Execution & HTML Report Generation in GUI Mode
Understanding JMeter HTML Report
Saving Complete Requests & Responses for Failed Requests of a Test to a File
Parameterizing Important Parameters Using __P() function & Why to Use this function?
Passing Arguments from CLI in Non-GUI Execution
Scope of JMeter Elements & Variables
Local & Global Variables
Execution Order (or Presidency) of JMeter Elements
Relative & Absolute Path Setup in JMeter
Debugging of Script in JMeter: – 4 helpful options
CSV Data Set Config & Random CSV Data Set Config
Distributed Load Testing in JMeter using Load Generators (LGs) in GUI & Non-GUI Modes (Master & Slaves Concept)
Types of Performance Testing
Test Run & Reporting

JMeter Elements, Their Sub-Elements & Their Attributes in Detail

Test Plan
Non-Test Elements
Thread Group
Controller Elements of JMeter
Sampler Elements of JMeter
Config Elements of JMeter
Assertion Elements of JMeter
Timer Elements of JMeter
Listener Elements of JMeter
Pre & Post Processor Elements of JMeter

JMeter Web Services Execution

JMeter REST services Execution

JMeter Integration with Appdynamics, Grafana

Jmeter integration with Jenkins

AI-Powered Performance Testing

AI for Test Script Creation

Generate basic JMeter scripts using natural language prompts
Convert user journeys / business flows into JMeter test steps
Automatically identify and apply:
Parameterization
Correlation handling
Test data generation
Detect and fix common script errors
Assist in creating and analysing NFRs (Non-Functional Requirements)
Generate performance test plans and strategy automatically

AI for Load Test Setup

Recommend optimal:
Number of virtual users
Ramp-up time
Test duration
Suggest appropriate load patterns, such as:
Normal load
Spike testing
Analyze test execution data to:
Identify slow or underperforming requests
Highlight bottlenecks early

AI for Result Analysis

Interpret performance metrics including:
Response time
Throughput
Error percentage
Automatically identify:
Failed requests
Slow APIs or pages
Compare current vs previous test runs
Generate:
Clear test summaries
Root cause analysis (RCA) insights

AI + Monitoring Integration

Interpret system and application monitoring dashboards
Explain resource utilization metrics such as:
CPU usage
Memory consumption
Disk and network utilization
Detect and highlight performance anomalies like:
CPU spikes
Memory leaks
Resource saturation

AI for Performance Testers

Generate JMeter scripts using simple natural language prompts
Assist in debugging:
Assertion failures
Script execution errors
Auto-generate:
Test case descriptions
Execution reports
Email-ready performance summaries

Live Sessions Price:

For LIVE sessions – Offer price after discount is 3~~00 USD 259 ~~USD~~~~ 109 USD Or ~~13000 INR~~ ~~12900 INR~~ 8900 Rupees

Enroll For Free Demo

Sample Course Completion Certificate:

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Reviews:

Course Features

Lectures 78
Quiz 0
Duration 40 hours
Skill level All levels
Language English
Students 1578
Assessments Yes

10 Sections
78 Lessons
40 Hours

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Vishnu

Vishnu M is an EX-IITian with 14+ years of extensive industry experience in Performance Testing, Performance Engineering, and AI-Driven Testing. He has worked on complex, large-scale enterprise applications, focusing on system scalability, reliability, optimization, and testing AI/LLM-based systems. His strong foundation in both traditional performance testing and modern AI testing technologies positions him as a trusted expert in next-generation quality engineering.

He brings strong hands-on expertise with industry-leading tools such as Apache JMeter, Micro Focus LoadRunner, AppDynamics, and Dynatrace. Vishnu also specializes in AI & LLM Testing, prompt validation, model behavior testing, Chaos Engineering, and advanced performance monitoring and observability. His ability to combine performance engineering, AI testing, and resilience testing helps learners understand how to test modern, intelligent, and highly scalable systems.

With an unmatched passion for teaching, Vishnu has 14+ years of technical training experience and has trained 700+ students over the last 5 years. His sessions are highly interactive, hands-on, and easy to follow, with a strong focus on real-time use cases and practical exercises. He has a natural talent for simplifying complex performance, AI, and observability concepts, making his training highly effective for both beginners and experienced professionals.