Gatling
locust
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Gatling | locust | |
---|---|---|
25 | 58 | |
6,242 | 23,556 | |
0.6% | 1.5% | |
9.7 | 9.8 | |
7 days ago | 8 days ago | |
Scala | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Gatling
- JHipster 8 - Criando uma aplicação monolĂtica
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What is Load Testing? Complete Tutorial With Best Practices
Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze.
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Best Practices in Testing GraphQL APIs
Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue.
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Perf/web testing framework similar to locust/gatling for .NET?
New to the .NET community and trying to learn! I have used tools such as Apache JMeter (Java), gatling.io (Java) and Locust (Python) that are decent full featured web perf frameworks. Typically these integrate well with your code, and can be run as part of your unit/integration tests and produce offline reports
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Optimizing Decision Making with a Trie Tree-Based Rules Engine: An Experience Report
I used SpringBoot 3.0.2, GraalVM 22 (JVM mode), a MacOS 2,6 GHz 6-Core Intel Core i7, running 1000 users for 5 minutes. The idea was to test how memory consumption and CPU usage evolve. Below, I compared the footprint of these three solutions. I collected the total count of requests, throughput, memory consumption, and CPU usage using VisualVM and Gatling.
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A starting point to debug a Java OutOfMemoryError
Load test your code to simulate a production load (you can use tools like k6 or Gatling)
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Library for easy implementation of instant load testing
It's read as "Ochikisu" and origin is the machine gun manufacturer Hotchkiss because this tool does not have as much firepower as the Gatling.
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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:
I am also Gatling-curious. Seems like an option for anyone in the JVM ecosystem.
- Testing NET TCP APIs without Jmeter
locust
- Protegendo APIs da Esquerda para a Direita (e em td no meio do caminho) [Tradução +/- Comentada]
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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?
- Simple web performance testing with Selenium?
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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.
- I wrote a kubernetes operator for “locust”, should I open source it
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Testing NET TCP APIs without Jmeter
Locust ->https://locust.io/
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Load testing workflow for POST API calls
I used to use JMeter, till someone else on the team introduced me to locust, so check that out if you don’t mind doing some python: https://locust.io. There’s also gatling (scala based, but can be generated by a recorder or HAR files), https://gatling.io
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Ask HN: What is best way to do hands-on practice for system design?
You can pretend a small web app is a bigger one with load testing tools like locusts[0].
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Ask HN: Do you load test your applications? If so, how?
I’ve used Locust (https://locust.io/) which makes it easy to describe usage patterns and then spin up an arbitrary number of “users”. It provides a real-time web dashboard of the current state including counts of successful & failed requests.
What are some alternatives?
Selenium WebDriver - A browser automation framework and ecosystem.
Cucumber - Cucumber for the JVM
REST Assured - Java DSL for easy testing of REST services
PyAutoGUI - A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
k6 - A modern load testing tool, using Go and JavaScript - https://k6.io
aiounittest - Test python asyncio-based code with ease.
Selenium
WireMock - A tool for mocking HTTP services
splinter - splinter - python test framework for web applications
Vegeta - HTTP load testing tool and library. It's over 9000!
siege - Siege is an http load tester and benchmarking utility
ScalaMeter - Microbenchmarking and performance regression testing framework for the JVM platform.