What you'll learn:
- Software Performance Testing and Engineering concepts and best practices
- Different phases in Performance Testing Life Cycle (PTLC) and best practices to be followed during each phase
- REST API Scripting using JMeter
- Performance Testing of Microservices hosted on AWS "Elastic Container Service" ECS - With mini Project
- How to create AWS ECS Cluster to host Microservices.
- How to configure and test auto scaling alarms for AWS Elastic Container Service
- AWS Lambda (Serverless) Performance Testing with case studies based on real performance testing projects.
- You will also get access to Performance Test Plan & Test Summary Report Templates
- You will learn how to design Performance Tests and also will get access to sample Jmeter scripts.
Why Most Performance Testers Fail When It Really Matters ??
(Discover the performance engineering secrets that 14 years of preventing system crashes taught me – beyond what any tool-focused courses will tell you)
Ever watched an app crash during a Black Friday sale?
That's what happens when software performance testing goes wrong. Or worse – when it never happened at all.
But here's the problem: most performance testers today are just "tool jockeys" – they know which buttons to click in JMeter or LoadRunner, but they're lost when real performance challenges strike. And that's exactly why companies are desperately seeking true Performance Engineers.
After 14 years of preventing digital disasters at major corporations, I discovered something shocking: 90% of performance testing courses out there are teaching it backward. They jump straight to tools without building the foundation that actually matters.
Think about it: would you trust a doctor who only knows how to use medical equipment but doesn't understand human anatomy?
That's why I created "Software Performance Testing and Engineering" course that transforms tool users into Performance Engineers.
Here's what makes this course different:
Instead of just teaching you how to write test scripts, you'll learn to think like a Performance Engineer. You'll understand the "why" behind every test, every metric, and every decision. This isn't about memorizing steps in JMeter – it's about developing an engineering mindset that works with any tool, any project, any scale.
Imagine walking into your next meeting and confidently explaining exactly why the system will (or won't) handle next month's product launch. Imagine being the person who prevents crashes before they happen, who can prove exactly how many users your system can handle, who knows precisely where to look when things go wrong.
This course is your blueprint for becoming that person.
You'll learn:
- The core principles that apply to every performance testing scenario (even ones that haven't been invented yet).
- How to design tests that reveal real problems (not just nice-looking reports).
- The exact methodology I've used to architect reliable systems for 14 years.
- Hands-on practice with JMeter that teaches you universal concepts, not just tool-specific tricks.
This course is perfect for you if you're:
- A developer who wants to build systems that actually scale.
- A QA engineer ready to move beyond basic functional testing.
- A DevOps professional who needs to prevent performance problems, not just react to them.
- An IT professional who wants to specialize in one of tech's highest-paying skills.
But I should warn you: if you're looking for a quick "certificate mill" course that just teaches button-clicking, this isn't for you. This is for professionals who want to master the art and science of performance engineering.
Ready to become the Performance Expert your team needs?
'Enroll Now' to begin your transformation from just a tool user to Performance Engineer.
There are many tools in the market to do Software Performance Testing but before you learn any of the tools mentioned below, you must learn the core performance testing & Engineering principles thought in this course first.
1. Apache JMeter: An open-source tool that can be used for performance testing and load testing. It supports various protocols like HTTP, JDBC, LDAP, and more.
2. LoadRunner: Developed by Micro Focus, LoadRunner is a widely used performance testing tool. It supports a variety of protocols and provides a comprehensive set of features for performance testing.
3. Gatling: An open-source tool that is designed for load testing. It is written in Scala and supports protocols like HTTP, WebSockets, and more.
4. Locust: An open-source, Python-based tool for load testing. It allows you to define user behavior using code and supports distributed testing.
5. BlazeMeter: A cloud-based performance testing platform that integrates with various open-source tools like Apache JMeter and Selenium. It provides real-time reporting and analysis.
6. Neoload: A performance testing tool that supports web and mobile applications. It offers features like dynamic infrastructure scaling and integration with CI/CD tools.
7. K6 by Grafana Labs - Modern open-source load testing tool designed for testing the performance of APIs, microservices, and websites.
