Scalability
Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
Python-based
The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
Web-based UI
Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
Real-time monitoring
During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
Open-source
Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.
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These tests were done on GCP Cloud Run using a single processor, and 512M RAM machine, and we used Locust, an incredible tool (for Python, LoL). - Source: dev.to / 25 days ago
Our test duration was 2 days. To handle this longer testing period, we switched from BlazeMeter (max test duration of 20 minutes) to Locust, an open-source load-testing tool. - Source: dev.to / 5 months ago
This week at work I was tasked with continuing some load testing that a previous Engineer had started. They had used locust which is an open source load testing tool to run the initial load testing on the staging environment. I now needed to do the same for production so I followed in their footsteps. - Source: dev.to / 6 months ago
Finally, let's compare the response time of the requests. For that, we will use Locust , an open source load testing tool. The tests will run for 5 minutes, and will increase 4 requests per second every second until they reach 1000 requests per second. - Source: dev.to / 8 months ago
Locust: Another open-source tool, Locust is particularly flexible due to its support for Python scripts. It can conduct load tests across multiple machines, making it possible to simulate millions of users simultaneously. An exceptional feature of Locust is its web-based UI, which allows real-time tracking of performance metrics during test execution. - Source: dev.to / 8 months ago
Locust is a perfect tool to use on such occasion:. - Source: dev.to / 9 months ago
So, in theory, we can handle 300 requests per minute on a single server which was the assumption we started with. After this, I decided to play with this configuration and see what we could achieve. But, to go ahead I need a system to measure the metrics of our load testing. So I quickly set up Locust on my system. Locust is an open-source easy to setup load-testing framework. - Source: dev.to / 9 months ago
The OpenTelemetry Demo is composed of microservices written in different programming languages that talk to each other over gRPC and HTTP; and a load generator which uses Locust to fake user traffic. - Source: dev.to / 12 months ago
Locust: is an open-source load testing framework that allows you to define scenarios using Python code. It simulates a large number of concurrent users and measures the performance of your web applications and APIs. - Source: dev.to / over 1 year ago
Like many suggested, I would tackle this by putting load via apis(https://locust.io) while running a selenium UI test at the same time in a loop to collect eventLoadTime until the api has finished running completely. You can then aggregate the load time and present your report. I don’t think there’s any other viable way to load test UI. Good luck 👍. Source: over 1 year ago
A Free Tool UnnaturalScrollWheels is a MacOS app that allows you to invert the scroll direction for physical scroll wheels while maintaining the normal function for trackpads. Aew3 recommends it "for those like me who go between dock and laptop and prefer my mouse to have a different scroll direction to the trackpad." Another Free Tool Locust is an open-source load testing tool that allows you to define... Source: over 1 year ago
If you want to test an actual application and how it handles network latency, potential buffering, QoS etc, then you could use Locust to stress-test REST-based applications and their APIs. Source: over 1 year ago
How do you handle state? Use something like locust to exercise the client with some actual load - you will be surprised how many bugs come out under these tests. Source: over 1 year ago
Load test suite (usually Locust because it's written in and scriptable with Python). Source: over 1 year ago
Thanks all, I think I'll go with the Locust solution, here is the link : https://locust.io/. Source: over 1 year ago
I had great success using Locust. It's extremely easy to write tests for, and you can use it both in CLI and WebUI mode. https://locust.io/. - Source: Hacker News / over 1 year ago
There are tools that exist for this specific purpose, like Locust. Source: over 1 year ago
I usually use Locust since it lets me write the load-test scenarios in the same language (Python) as the app. Source: over 1 year ago
I've recently been using Locust to determine how much resources my machine needs. There are several articles online about load testing django with this tool, and the docs themselves are pretty good. May help you refine your needs. Source: over 1 year ago
You can get fancier with tools like Locust (https://locust.io/). Source: over 1 year ago
We use locust to loadtest our C# microservice applications. It has really cool interface and reporting out of the box and you can also execute loadtest from cli / devops pipeline. Only thing is that you need to write loadtests in python. Source: almost 2 years ago
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