Gatling VS Karate

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.

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.

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

Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. but the tool is solid.

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.

Load test your code to simulate a production load (you can use tools like k6 or Gatling)

k6 is our preferred javascript based cloud tester for light webservices. gattling if you have (a monolith with) workflows and need more formalized code to prove/audit your 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.

This is why we need better tools which will give benefits for the added complexity. If you need to create both the feature files AND the code, it's just complexity with little benefits. But frameworks like https://github.com/karatelabs/karate or https://github.com/Endava/cats are hiding this complexity and remove the code layer entirely. Which, in my view, this is where you need to be in 2023, particularly for API testing.

- https://insomnia.rest/ - https://hoppscotch.io/ - https://github.com/karatelabs/karate - https://github.com/warmuuh/milkman

Congrats on the launch ! I'm the lead dev of [Karate](https://github.com/karatelabs/karate) and was wondering if you had come across it. I strongly agree that collaboration should be [via Git](https://www.karatelabs.io/first-class-citizens) and the IDE and traditional solutions fall short. I hope Karate's syntax passes your "memory friendly" test :) We get regular feedback is that it is easy to read and even non-programmers can pick it up. One thing I feel we do really well is chaining of HTTP requests. And we have plugins for [IntelliJ](https://plugins.jetbrains.com/plugin/19232-karate) and [VS Code](https://marketplace.visualstudio.com/items?itemName=karatela...).

Maintaining a tool like this as open-source is hard, all the best !

FWIW https://github.com/karatelabs/karate is 83% Java.

We use karate to test our fully integrated graphql backend. Has Gherkin language support.

Try Karate

Take a look at Karate.