µTest
Gatling
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µTest | Gatling | |
---|---|---|
2 | 25 | |
478 | 6,251 | |
-0.6% | 0.8% | |
4.2 | 9.8 | |
7 days ago | 6 days ago | |
Scala | Scala | |
- | Apache License 2.0 |
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.
µTest
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From First Principles: Why Scala?
Let's clarify some points for folks not so familiar with Scala.
> * Scala minor version are binary incompatible, so maintaining Scala projects is a big pain. Upgrading Spark from Scala 2.11 to Scala 2.12 was a massive undertaking for example.
Scala just chose a strange naming scheme. Other languages would have just increased their major version instead. The scala minor version is increased every few years and not every month or so.
> * Scala has tons of language features and lets people do crazy things in the code.
Actually, that's not true. Or rather: compared to what language?
Scala has surprisingly few language features, but the ones it has are very flexible and powerful. Take Kotlin for example. It has method extensions as a dedicated feature. Scala just has implicits which can be used for method extension.
> * Scalatest is stil used by most projects and is annoying to use, as described here: https://github.com/lihaoyi/utest#why-utest. The overuse of DSLs in Scala is really annoying.
I agree with the overuse of DSLs. Luckily that got much better, but older libraries like scalatest still suffer from that.
> * Li's libs (os-lib, upickle, utest) have clean public interfaces, but most Scala ecosystem libs are hard to use, see the JSON alternatives for examples
I think that just comes from using the library in a non-idiomatic way. In most applications, you will need to use the whole json anyways, and then you use (or can use) circe like that:
{
Gatling
- JHipster 8 - Criando uma aplicação monolítica
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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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How can I do a simple load test for an API I'm developing?
Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. but the tool is solid.
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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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Are you using any load/stress testing tools?
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.
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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.
- Load Testing: An Unorthodox Guide
What are some alternatives?
ScalaMock - Native Scala mocking framework
Cucumber - Cucumber for the JVM
Diffy
REST Assured - Java DSL for easy testing of REST services
scalaprops - property based testing library for Scala
k6 - A modern load testing tool, using Go and JavaScript - https://k6.io
Scala Test-State - Scala Test-State.
locust - Write scalable load tests in plain Python 🚗💨
Scalive - Connect a Scala REPL to running JVM processes without any prior setup
Selenium
ScalaCheck - Property-based testing for Scala
WireMock - A tool for mocking HTTP services