Ways to visualize k6 results
A k6 load test can generate a ton of data. Without a way to organize the data, you'll struggle to analyze test results. Fortunately, there are many ways to turn results into data-rich visualizations.
A k6 load test can generate a ton of data. Without a way to organize the data, you'll struggle to analyze test results. Fortunately, there are many ways to turn results into data-rich visualizations.
Software development is entirely different today than it was a few years ago. Back then, we usually had a big monolith running on our own hardware. We mainly did performance tests to see if the hardware resources were sufficient to handle the load. Today, we develop software in a distributed environment with multiple services which may even run on different cloud platforms. With performance testing, we try to identify performance and resilience issues in these kinds of environments.
You can find a collection of k6 scripts and GitHub workflows referenced in this tutorial here. In this tutorial, we will look into how to integrate performance testing in your development process with GitHub Actions and k6. For a video tutorial 🎥 , check out the following tutorial on YouTube. k6 is an open-source load testing tool for testing the performance of APIs, microservices, and websites.
At k6 we regularly get a request to support another programming language in addition to JavaScript. Go developers would like to write test scripts in Go, Java developers migrating from jMeter would like to write tests in Java. We have evaluated these requests and discussed in detail internally if this is a good direction for the k6 tool. Ultimately we have decided against supporting more programming languages for scripting. Below is our reasoning for this decision.