Ruby-JMeter
locust
| Ruby-JMeter | locust | |
|---|---|---|
| 3 | 60 | |
| 749 | 27,245 | |
| - | 0.8% | |
| 0.0 | 9.8 | |
| over 1 year ago | 4 days ago | |
| Ruby | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Ruby-JMeter
- Stress Testing Your Rails Application Using JMeter
ruby-jmeter is a gem that simplifies the generation of JMeter test plans and allows to use Ruby language to describe them. It can generate a jmx file or start headless JMeter and run the test.
- Load Testing with Ruby-JMeter
Here comes the ruby-jmeter! An easy to use tool that helps you to write readable test plans, which leads to focusing on your simulator scenarios to become closer to real customer behaviours. Under the hood, it uses JMeter. The code below simulates 10 customers keep visiting Google while its being run.
- Load Testing: An Unorthodox Guide
JMeter is old and crusty and not at all friendly to work with. But I used it for years because it was really about the best we had. Today I don't wish it on anyone.
Ruby JMeter finally made JMeter easier to manage, but I haven't worked in a Ruby shop for years, and I'm not going to force everyone to learn Ruby just to do some load testing.
https://github.com/flood-io/ruby-jmeter
Then along came k6. It's developer-friendly and I've seen people actually enjoy using it. I recommend anyone considering JMeter also take a look at k6. They do a better job of selling it than I do:
https://k6.io
I am also Gatling-curious. Seems like an option for anyone in the JVM ecosystem.
https://gatling.io
locust
- Caching in Django
The key to successful caching is understanding your application’s bottlenecks and choosing the right caching strategy for each use case. So before doing any caching or performance improvement, track the bottlenecks using tools like django debug toolbar, django silk. You can also use locust for performance/load testing.
- Smoke, stress, spike, soak, and recovery: 5 essential load test profiles
Hi everyone!
Long time lurker, first time poster here. I'm the maintainer of Locust (https://github.com/locustio/locust), and this is the second part of my series about load testing.
Let me know what you think!
- Protegendo APIs da Esquerda para a Direita (e em td no meio do caminho) [Tradução +/- Comentada]
- codecov gone from PyPi
I'm assuming this breaks a ton more than just my project (https://github.com/locustio/locust/actions/runs/4687344723/jobs/8315803536)
- Simple, open-source, lightweight stress tool
If, like me, AGPL isn't your cup of tea, you can look at vegeta or locust which are both MIT.
- What server to pick for a good amount of consistent traffic?
- Load/Stress test Apache
locust if you can code
- Simple web performance testing with Selenium?
- Can I use pytest for smoke testing?
- Load Testing: An Unorthodox Guide
Agreed with a lot of the points here, like starting small with a single piece of your API, then slowly expanding your tests once you’re comfortable that you know what you’re doing.
Note that if you use the Locust framework to write your load tests in Python, it takes care of measuring and reporting the latency and throughput for you. It’s really nice.
https://locust.io/
What are some alternatives?
power_assert - Power Assert for Ruby
Selenium WebDriver - A browser automation framework and ecosystem.
Parallel Tests - Ruby: 2 CPUs = 2x Testing Speed for RSpec, Test::Unit and Cucumber
PyAutoGUI - A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
mutant - Automated code reviews via mutation testing - semantic code coverage.
aiounittest - Test python asyncio-based code with ease.