Mastering Load Testing: REST API Load Testing Using K6 | Performance Testing (Part 1)

Mastering Load Testing: REST API Load Testing Using K6 | Performance Testing (Part 1)
In this informative and practical video, I provide a comprehensive guide to load testing, covering various types of load tests and demonstrating the step-by-step process of installing and running test cases using K6. Load testing plays a crucial role in assessing system performance and stability under different levels of user traffic.

Performance testing can test the reliability and performance of your systems and catch performance regressions and problems earlier. It will help you to build resilient and performant applications that scale.

Timestamps:
0:00 - Introduction to Load Testing
0:50 - Exploring Different Types of Load Tests
9:45 - Installing K6 for Load Testing
11:07 - Creating and Running Test Cases with K6
33:54 - Load Testing Report
36:42 - How Load Testing Helps in Testing Auto Scaling of Instance
39:45 - Conclusion and Next Steps

By the end of this video, you'll have a solid understanding of load testing concepts and techniques, as well as the ability to utilize K6 for conducting your own load tests. Don't miss out on this valuable resource for optimizing your system's performance and ensuring its scalability.

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🚀 List of Load Testing Test Cases Discussed in the Video
1. Smoke Test
This script verifies that the load testing script functions correctly and tests the system under minimal load. It provides baseline performance values for further comparisons.

2. Load Test
The load test assesses how the system performs under typical load, simulating a regular day in production or an average moment. It helps evaluate the system's response and performance metrics under realistic conditions.

3. Stress Test
The stress test applies a higher load compared to the average load test. It helps identify the system's breaking point, examining its behavior and performance under increased load. The ramp-up period is longer to account for the load increase.

4. Soak Test
The soak test focuses on extended periods, analyzing the system's degradation of performance and resource consumption over time. It tests the system's availability and stability during prolonged periods of usage, providing insights into its long-term behavior.

5. Spike Test
The spike test verifies the system's ability to handle sudden and massive rushes of utilization. It applies extremely high loads in a short or non-existent ramp-up time, simulating real-world scenarios with quick load spikes.

6. Breakpoint Test
The breakpoint test aims to identify the system's limits by ramping up to unrealistically high load numbers. It helps in understanding where and how the system starts to fail, providing insights for scalability planning and optimizing system performance.

7. Response Time Test
The response time test measures the average response time of the APIs to assess server capacity. It helps identify any latency or performance issues, enabling you to optimize your backend services for improved responsiveness.

8. Customized Load Test
Description: The customized load test allows you to simulate varying load scenarios to ensure your application can handle real-world usage demands. By customizing the load pattern, you can validate your application's performance and reliability under specific traffic conditions.

9. Rate Limit Test
Description: The rate limit test helps you evaluate the effectiveness of your rate-limiting mechanisms in protecting your application from abuse or excessive usage. It ensures optimal performance for legitimate users while preventing unauthorized or excessive requests.

10. Extreme Stress Test
The extreme stress test is similar to the stress test but with a significantly higher load, typically 5 to 10 times what you expect in your production environment. It helps you push the system to its limits and identify potential weaknesses or bottlenecks.

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