|
- Load testing for engineering teams | Grafana k6
k6 is an open-source tool and cloud service that makes load testing easy for developers and QA engineers
- Grafana k6 | Grafana k6 documentation
Grafana k6 is an open-source, developer-friendly, and extensible load testing tool k6 allows you to prevent performance issues and proactively improve reliability
- grafana k6: A modern load testing tool, using Go and JavaScript - GitHub
k6 is a modern load-testing tool, built on our years of experience in the performance and testing industries It's built to be powerful, extensible, and full-featured
- Introduction to Modern Load Testing with Grafana K6
Learn how to use Grafana k6 for load testing your applications This guide covers installation, writing your first test script, running tests, understanding results, and visualizing performance data
- How to Execute Load Tests Using the k6 Framework - Baeldung
The k6 framework is a powerful, open-source load-testing tool that bridges simplicity with sophisticated performance analysis Designed to enable developers to create comprehensive performance test scenarios, combining JavaScript scripting with efficient execution capabilities
- Performance testing with k6 - GeeksforGeeks
Load testing is a subset of performance testing where we analyze the behavior of the application under normal or peak load conditions What is k6? k6 is an open-source load testing tool for testing the performance of APIs, microservices, and websites Prerequisites: Install the k6 tool
- Open-source load testing tool for developers | k6 OSS
For modern engineering teams The k6 API and CLI are designed to be intuitive, flexible, and powerful Build realistic load tests using a familiar scripting language Reuse modules and Javascript libraries to better build and maintain your test suite
- Grafana k6 | Open source load testing tool
The k6 open source project was started in 2016 by k6, a startup Grafana Labs acquired in 2021 The mission of the project is to give teams extensible load testing tools for building and observing reliable applications
|
|
|