Performance Testing with AI | Jmeter | Lighthouse | K6

🚀 Course Title: Performance Testing with AI | Jmeter | Lighthouse | K6

🎓 Course Headline: Generative AI for Testing: Master Performance Testing with Jmeter, Lighthouse, Automated Testing, Grafana/K6 & More!

🎉 Course Description:

Unlock the secrets of high-performance applications with our comprehensive course on Performance Testing with AI. This is not just another guide on performance testing; it's a deep dive into the cutting-edge tools and techniques that will elevate your testing game, including Jmeter, Lighthouse, K6, Grafana, and the transformative power of Generative AI like ChatGPT.

What You'll Learn:

• 🧐 Understand Performance Testing: Dive into the fundamentals of performance testing and its critical role in software development.

• 🚀 Performance Matters: Explore the impact of performance on sales, customer satisfaction, and your company's bottom line.

• 📈 Real-World Examples: Learn from case studies where performance issues have significantly affected businesses.

• ✅ Preconditions for Testing: Prepare your environment for successful performance testing with all the necessary preconditions in place.

• ☁️ Shift Left on Performance: Embrace the "Shift Left" approach, integrating performance concerns early in the software development lifecycle.

• 🛠️ Infrastructure Configuration: Understand the factors that influence your performance test results and how to configure them optimally.

• 📊 Performance Testing Infrastructure: Explore local, cloud, or cloud-only testing environments and how to set them up effectively.

• 👀 Monitoring Performance Testing: Learn what metrics matter and why monitoring is crucial for the health of your applications.

• 🛠️ Hands-On Tutorial: Get a step-by-step tutorial on configuring and using Grafana/K6 for testing across different environments.

• 🛑 Blocking Pipelines: Troubleshoot common performance testing bottlenecks with K6, Jmeter, Lighthouse, and GitHub.

• 🎬 Live Demos: Watch live demonstrations on setting up a performance testing framework with zero prior knowledge of Jmeter using Generative AI.

• Creating a Test Plan with JMeter: Start by understanding how to create an effective test plan in JMeter, mastering the key components for accurate structuring.

• Adding Users: Simulate real user behavior and learn how to add users to your test scenarios for different loads.

• Adding Test Data: Discover the importance of realistic data in testing and how to incorporate it effectively.

• Adding Randomness: Learn to introduce randomness into your tests to create dynamic, unpredictable test conditions that mimic real-world usage.

• Interpreting Results: Gain insights into interpreting JMeter results and understand the metrics and graphs that matter most.

• CI/CD Integration: Integrate performance testing into your CI/CD pipeline, ensuring continuous monitoring and automation with GitHub.

By the end of this course, you'll have a solid foundation in building a performance testing framework with JMeter and integrating it into your CI/CD workflow. You'll be well-equipped to identify bottlenecks, optimize for peak performance, and deliver applications that can handle any load thrown at them! 🚀

👩‍🏫 Instructor: Dan Andrei Bucureanu

📚 Course Title: Performance Testing with AI | Jmeter | Lighthouse | K6

Join us on this journey to the forefront of performance testing innovation. Enroll now and transform your approach to application performance! 🌟