
Website performance directly affects the user's experience, and your business's bottom line. One way of identifying performance issues is via API-based load testing tools such as k6. API load tests tell you whether your services scale, and how quickly they respond under load, but they don’t measure the full user experience. Let's see how Google Lighthouse can help!
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Load testing is crucial for ensuring your applications can handle expected load volumes. In this guide, we'll set up a complete load testing environment using k6 for testing, Prometheus for metrics collection, and Grafana for visualization—all orchestrated with Docker.
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In this sequel post, we dive deeper into Gatling by bootstrapping a new Maven project and writing load test scripts from scratch, moving beyond the Gatling Recorder.
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Learn how to use Gatling, a powerful open-source load testing tool, to create and run automated load tests for your web applications. This guide covers installation, script creation using the Gatling Recorder, and execution of load tests with detailed reporting.
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