API Performance Testing With K6, Github Copilot, and ChatGPT

API Performance Testing With K6, Github Copilot, and ChatGPT | Udemy [Update 04/2024]
English | Size: 3.28 GB
Genre: eLearning

Learn Grafana K6 for REST API performance testing, with the help of GenAI Assistant (Generative AI: ChatGPT, Copilot)

What you’ll learn
Learn how AI like ChatGPT and Github Copilot change the software testing landscape
Using AI Assistant (ChatGPT, Github Copilot) on Visual Studio Code to do REST API testing using Grafana K6
Understand performance testing basics
Prompt Engineering for AI, to help you working faster, and more efficient during K6 software testing
Write checks, thresholds, and various Grafana K6 aspects from zero

Explore the frontier of REST API performance testing in this course, designed to empower you with the knowledge to use Grafana K6 for REST API testing enriched with the support of AI assistants. This course covers everything from the basics of K6 to advanced testing techniques, including how to effectively use GitHub Copilot and ChatGPT to improve your automated testing skills with Grafana K6.

Start with a warm welcome and an intriguing introduction to AI and Large Language Models. Delve into the course structure and absorb the crucial points guiding your learning path. Your adventure gets more interesting as you explore the integration of AI assistants in software engineering and testing using the capabilities of ChatGPT and GitHub Copilot. With the basics in hand, you’ll examine the source code structure, laying the groundwork for comprehensive performance testing. As you progress, the course introduces you to performance testing with K6, starting with installation and your first script execution. Each step, from executing commands on the K6 Command Line with test options flags, is enhanced by AI assistance. The curriculum expands to cover essential tools and concepts like Docker, using software for testing, and using Postman for API interactions. You’ll navigate HTTP requests with and without AI support, understand K6 checks and metrics, and learn how to visualize K6 results for insightful analysis. Further refinement of your skills is achieved through lessons on thresholds, tags, and custom tags, each benefiting from AI integration. The course then shifts focus to practical application, guiding you through debugging K6 scripts, adding test data, and mastering data correlation—all with the invaluable support of AI assistants. Advanced topics introduce handling insecure requests, managing HTTP redirects, executing parallel requests, and defining custom metrics. Each module showcases the power of AI to simplify complex tasks. Groups, test lifecycle management, and environmental variables are also discussed, cementing your comprehensive understanding of performance testing. While most of the courses use GitHub Copilot as AI assistance, you will also see how to use ChatGPT with K6, offering a practical application of earlier lessons and presenting advanced strategies in command line usage, test options, HTTP requests, checks, thresholds, and more, all through the lens of AI assistance.

This course equips you with the technical skills for API performance testing and empowers you with innovative strategies to harness AI tools for enhanced testing efficiency and effectiveness.

Why Buy This Course?

Embrace the future of software testing with AI integration.

Master Grafana K6, a leading tool in API performance testing.

Benefit from hands-on learning with practical projects and examples.

Enhance your problem-solving skills in API testing with AI insights.

Keep up with industry trends by learning to integrate AI assistants in testing.

What You’ll Learn:

Setting up and configuring Grafana K6 for API testing.

Effective use of GitHub Copilot and ChatGPT for writing and optimizing test scripts.

Many techniques for performance testing and result analysis.

Customizing test environments.

Utilizing AI for creating and improving test accuracy and efficiency.

Student Requirements:

A basic understanding of JavaScript and REST API concepts.

Curiosity about AI and its applications in software testing.

Interest in enhancing software performance through rigorous testing.

Who is This Course For:

Developers and Engineers seeking advanced skills in API testing.

QA and Testing Professionals want to incorporate AI into their workflows.

Tech enthusiasts who are curious about the synergy between AI and REST API performance testing.

Who this course is for:
Software engineers
Software testers / Quality engineers
Technical / QA managers

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