Skip to main content

Load Testing using Locust.io (Open-source)

Locust is an open-source load testing tool written in Python. It allows you to simulate thousands of concurrent users and measure the performance of your application or system under load.

Here's a step-by-step guide on how to use Locust for load testing:

1) Install Locust

Locust can be installed using pip, the package manager for Python. Open a terminal or command prompt and run the following command:

pip install locust

or

pip3 install locust

2) Create a Locust file

Locust uses Python code to define the load testing scenarios. Create a new Python file, e.g., codeburps-load-test.py.

In Locust, users are simulated as classes. Create a class that inherits from HttpUser. Define the tasks that the user will perform using the task decorator.

3) Run Locust

Save the file and run it from the terminal or command prompt:

locust -f ~/code/locust/codeburps-load-test.py

or

~/Library/Python/3.9/bin/locust -f ~/code/locust/codeburps-load-test.py

4) Access the Locust web interface

After starting Locust, it will provide a web interface where you can configure the number of users and spawn rate, monitor the progress, and view various statistics.

Open a web browser and go to http://localhost:8089 (by default) to access the Locust web interface.


In the Locust web interface, set the number of total users, hatch rate (number of users to spawn per second), and other relevant settings.

Click the "Start swarming" button in the web interface to begin the load test. Locust will start spawning users and executing the defined tasks.

5) Monitor and analyze

The web interface provides real-time statistics about the current load test, including the number of requests per second, response times, failure rates, and more.

You can monitor these metrics to understand how your application performs under different loads.


Labels:

Comments

Post a Comment

Popular posts from this blog

Deploying Spring Boot microservices on Kubernetes Cluster

This article guides you through the deployment of two Spring Boot microservices, namely "order-service" and "inventory-service," on Kubernetes using "MiniKube" . We will establish communication between them, with "order-service" making calls to an endpoint in "inventory-service." Additionally, we will configure "order-service" to be accessible from the local machine's browser . 1) Create Spring Boot microservices The Spring Boot microservices, "order-service" and "inventory-service," have been developed and can be found in this GitHub repository. If you are interested in learning more about creating Spring Boot REST microservices, please refer to this or this (Reactive) link. 2) Build Docker Images The Docker images for both "order-service" and "inventory-service" have already been generated and deployed on DockerHub, as shown below. codeburps/order-service cod...
Post a Comment
Read more

Circuit Breaker Pattern with Resilience4J in a Spring Boot Application

Read Also: Spring Cloud Circuit Breaker + Resilience4j Resilience4j is a lightweight fault tolerance library that draws inspiration from Netflix Hystrix but is specifically crafted for functional programming. The library offers higher-order functions, known as decorators , designed to augment any functional interface, lambda expression, or method reference with features such as Circuit Breaker, Rate Limiter, Retry, or Bulkhead . These functionalities can be seamlessly integrated within a project, class, or even applied to a single method. It's possible to layer multiple decorators on any functional interface, lambda expression, or method reference, allowing for versatile and customizable fault tolerance. While numerous annotation-based implementations exist online, this article focuses solely on the reactive approach using router predicates and router functions . How Circuit Breaker Pattern works? In general, a circuit breaker functions as an automatic electrical s...
Post a Comment
Read more

How to create a basic Spring 6 project using Maven

Below is a step-by-step guide to creating a basic Spring project using Maven. 1) Create a Maven Project Use the following Maven command to create a new Maven project. mvn archetype:generate -DgroupId=com.tb -DartifactId=spring-demo -DarchetypeArtifactId=maven-archetype-quickstart -DinteractiveMode=false 2) Import in IntelliJ IDEA If you haven't already, open IntelliJ IDEA on your system. Go to "File" > "New" > "Project from Existing Sources..." . In the file dialog, navigate to the directory where your Maven project is located. Select the pom.xml file within the project directory and click "Open." 3) Update pom.xml In total, the application requires the below-mentioned dependencies: 4) Create Spring Configuration Create a Java configuration class that uses annotations to define your Spring beans and their dependencies. This class should be annotated with @Configuration . 5) Create the Main Application C...
Post a Comment
Read more