wrk VS Apache JMeter

> My initial requirement was to send requests with unique parameters. To the best of my knowledge, no tool could do this.

wrk does this with lua. https://github.com/wg/wrk/blob/master/src/wrk.lua

Also even things like the venerable jmeter supported pulling parameters from a csv file.

We used wrk2, a fantastic tool to generate stable load on the server. Wrk2 improves on wrk and adds the ability to generate sustained load at a specific rate (-R parameter).

I am using a tool called wrk to make a bunch of requests to my website, and changing the concurrency of the requests drastically changes the result, with concurrency set to 1, I get 894 requests made in 10 seconds, and when I set concurrency to 10, I get 8549 requests. This linear scaling stops when increasing the concurrency more drastically (18805 requests for 100 and 19814 for 500 concurrency).

Im creating multithreaded async http server for learning purposes and i'm facing problem when benchmarking with wrk. I get socket read errors on every connection:

We use locust at work but I HIGHLY recommend wrk for a very robust yet simple load testing tool.

https://github.com/wg/wrk

And of course, this talk by Gil Tene is fantastic if you're interested in load testing stats https://www.youtube.com/watch?v=lJ8ydIuPFeU

Good morning what tool do you use to test your infra in terms of http load ? A tool that works, I tested : - https://github.com/tsenart/vegeta but it returns 0 errors or a http_net error from Golang - LOIC (Low Orbit Ion Canon) https://github.com/NewEraCracker/LOIC but the requests do not appear in my nginx logs and I feel no slowdown - Apache Jmeter https://jmeter.apache.org/ but I can't drop my infra and I have Java socket closed errors - K6 https://k6.io/ but I can't bring down my infra with - wrk https://github.com/wg/wrk no matter what parameter I put it doesn't make enough requests per second, I put the same parameters as on a tutorial and I don't get the same result...

You could try to just blast it with wrk or bombardier. Can easily get around 50k requests on consumer machine.

Sure, first I did the load testing on the same machine. The same machine ran web servers, php-fpm and ab / wrk programs.

There are http benchmarking tools like wrk [0]. You don't need a ddos service for that.

[0] https://github.com/wg/wrk

Usually, I would let organic users be my load test. However, I am working on a project that has an anticipated load on a new-to-my-team stack, so I'm looking into ways to load test.

I've seen tools like k6 (https://k6.io/), Artillery (https://www.artillery.io), and JMeter (https://jmeter.apache.org/).

I've been using Artillery, but it's hard to visualize the results.

What do you use?

Apache JMeter: This tool is an open-source application built on Java, designed specifically to test load functionality and performance. Developed by the Apache Software Foundation, JMeter is versatile, able to simulate loads across a wide range of services and protocols such as HTTP, HTTPS, JDBC, LDAP, and SOAP. With an extensible core that can be tailored with plugins, it provides the flexibility needed for different testing scenarios. Its intuitive GUI makes it easy for testers to design test plans and visualize the results in various ways.

I'll use Apache JMeter to do this experiment:

Thanks for the tip. Hows that compare to this tool? https://jmeter.apache.org/

Apache JMeter: Download and install JMeter from the official website (https://jmeter.apache.org/). Java Development Kit (JDK): JMeter requires Java, so ensure you have the latest JDK installed on your system. Postman: Install Postman from the official website (https://www.postman.com/downloads/).

The test scenario consists of querying for descriptions of different offers. During the test, I will collect data on memory and GC parameters using jConsole. I will run the test scenario using jMeter, which additionally will allow me to measure response times.

FYI some of our people internally use Jmeter. https://jmeter.apache.org/

It's not flashy so it probably wont get the standard "we are going to milk you for data" plan

Issue #5682Pull request #717 - Open Model Thread Group: avoid skipping rows from CSV Data Set Config

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.

JMeter https://jmeter.apache.org