An open-source load and performance testing framework based on Scala, Akka and Netty for simulating loads and analyzing system performance under various user loads.
Gatling.io is an open-source load and performance testing framework based on Scala, Akka and Netty. It provides a domain-specific language (DSL) to model user behavior and create scenarios that simulate load on a system.
Some key features of Gatling include:
Gatling is commonly used for:
With its focused DSL, Gatling aims to make load testing approachable for developers and testers. The reports provide insights into response times, throughput and other metrics under simulated load. Overall, Gatling is a reliable open-source tool for load and performance testing needs.
31 reviews
As a developer who needed to stress test our microservices API, Gatling.io delivered exactly what we needed. The Scala-based DSL took a little getting used to, but once I understood the structure, creating realistic load test scenarios became straightforward and …
As a developer who needed to stress-test our microservices, Gatling.io has been a game-changer. Writing tests in Scala is intuitive, and the detailed HTML reports make it easy to pinpoint bottlenecks. While the learning curve exists, the ability to simulate …
Gatling is a powerful, high-performance tool for load testing APIs and web applications. I've used it for stress-testing microservices, and the results are incredibly detailed and accurate, especially for high-concurrency scenarios. However, the learning curve is steep, especially for users …
We were struggling to predict how our new microservice would hold up under production load. We tried a few open-source load testing tools, but Gatling.io was the one that struck the perfect balance of power and clarity. The simulation and …
As a developer, I needed a tool that could simulate high loads on our microservices without being resource-heavy, and Gatling.io delivers perfectly. The scriptable scenarios in Scala are powerful and the detailed HTML reports make pinpointing bottlenecks straightforward. The fact …
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