Software Testing / Non-Functional Testing

Stress Testing Basics

This tutorial will walk you through the basics of Stress Testing. It will teach you how to test your website beyond its normal operational capacity, and observe the results.

Tutorial 3 of 5 5 resources in this section

Section overview

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Non-Functional Testing focuses on aspects of the software that may not be related to a specific function or user action, such as scalability or security.

Stress Testing Basics Tutorial

1. Introduction

Goal of the tutorial: This tutorial will cover the basics of Stress Testing, a type of performance testing used to determine a system's behavior under extreme load conditions. We will learn how to push a web application beyond its normal operational capacity to observe the results.

Learning outcomes: By the end of this tutorial, you will be able to understand the concept of stress testing, perform stress testing on a website, and analyze the results to improve your application's performance.

Prerequisites: Basic knowledge of web development and testing. Familiarity with JavaScript and any load testing tools like Apache JMeter or Locust would be helpful.

2. Step-by-Step Guide

What is Stress Testing?

Stress testing is a software testing activity that checks the robustness of software by testing beyond its maximum operating capacity. The goal is to ensure that the software does not crash in conditions of insufficient computational resources (CPU, memory, disk space, etc.).

Quick Tips
- Always define your objectives before starting the stress testing process.
- Identify critical scenarios that will be stress tested.
- Use automated tools for stress testing.
- Analyze the results after stress testing and make necessary changes.

3. Code Examples

Let's consider we are using a load testing tool called Locust for stress testing. Below is a simple stress testing code snippet.

from locust import HttpUser, task, between

class WebsiteUser(HttpUser):
    wait_time = between(5, 15)

    @task
    def load_main(self):
        self.client.get("/")

Code Explanation
- We import necessary classes from locust module.
- We define a class WebsiteUser which is a subclass of HttpUser.
- The wait_time attribute is a pause that each user will take between executing tasks. Here it's a random number between 5 and 15 seconds.
- @task decorator marks a method as a task. Here, load_main is a task that sends GET requests to the main page of the website.

Expected Output
This script will simulate users that wait between 5 and 15 seconds, then loads the main page ("/"). You will see the output in your terminal showing the number of requests made, the number of users currently running, and the response times.

4. Summary

In this tutorial, we've learned about stress testing, its importance, and how to carry it out using a load testing tool. Remember, the main goal of stress testing is to identify your application's breaking point and improve its performance.

Next Steps
Learn about other types of testing like load testing, performance testing, and unit testing.

Additional Resources
- Locust Official Documentation
- Apache JMeter User Manual

5. Practice Exercises

  1. Exercise 1: Use Locust to stress test a different page of your website, for example, /login.

Solution: You just need to change the URL in the load_main task to /login.

  1. Exercise 2: Modify the wait_time to a fixed value and observe how it changes the results.

Solution: You can set wait_time to a fixed value, for example, wait_time = 10. Now, each user will wait for exactly 10 seconds between tasks.

Tips for Further Practice: Experiment with different stress testing tools like Apache JMeter. Try to stress test a more complex website with multiple pages and functionalities.

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