Descriptions
AI Performance Testing | Jmeter | Lighthouse | K6. You’ll start by understanding the basics of JMeter and how to create an effective test plan. We’ll look at the key components and configurations needed to precisely structure your tests. Learn how to simulate the behavior of real users by adding users to your test cases. We’ll look at different user profiles and demonstrate how to configure JMeter for different user workloads. Learn the importance of realistic test data and how to include it in your performance tests. We’ll show you how to effectively manage and manipulate data for rigorous testing. Understand the meaning of randomness in performance testing and how to implement it into your test cases. You will learn techniques for creating dynamic and unpredictable test conditions. Dive into results analysis and learn how to extract valuable information from your test runs. We’ll look at metrics, graphs, and best practices for effectively interpreting JMeter results.
What will you learn
- How to use AI to create frameworks
- How Performance Testing Works
- jmeter basics
- Pipelines K6
- K6 Local testing
- Cloud testing K6
- Google Lighthouse and Page Speed Test
- Google Lighthouse pipelines on Github
- Shift left on performance
- Performance testing on a feature branch
- Monitoring in Performance Testing
- Performance Testing Platforms
Who is this course for?
- testers
- Quality Assurance Specialists
- Quality Engineers
- Software engineers
Characteristics of AI Performance Testing | Jmeter | Lighthouse | K6
- Publisher: Udemy
- Teacher: Dan Andrei Bucureanu
- English language
- Level: Beginner
- Number of courses: 87
- Duration: 5 hours 57 minutes.
Contents for 2024-5
Requirements
Images
Sample clip
Installation instructions
Extract the files and watch on your favorite player
Subtitles: Not available
Quality: 720p
Download links
Password file(s): free download software
file size
1.4 GB