Gatling vs Raygun: What are the differences?
Developers describe Gatling as "open-source load testing framework based on Scala, Akka and Netty". Gatling is a highly capable load testing tool. It is designed for ease of use, maintainability and high performance Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. As the core engine is actually protocol agnostic, it is perfectly possible to implement support for other protocols. For example, Gatling currently also ships JMS support.. On the other hand, Raygun is detailed as "Use Raygun to track, manage, and report your software errors". Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.
Gatling can be classified as a tool in the "Load and Performance Testing" category, while Raygun is grouped under "Exception Monitoring".
Gatling is an open source tool with 4.32K GitHub stars and 923 GitHub forks. Here's a link to Gatling's open source repository on GitHub.
According to the StackShare community, Raygun has a broader approval, being mentioned in 52 company stacks & 44 developers stacks; compared to Gatling, which is listed in 28 company stacks and 63 developer stacks.
What is Gatling?
What is Raygun?
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I've used Raygun to track errors in HTML5 apps and WordPress themes. The integration was smooth and I was set up in minutes.
My only qualm at first was that I was going to get spammed to the eye-balls with errors (especially with some of the unhandled errors in WordPress plugins!). Thankfully, Raygun gives you fine control over notifications and conveniently groups all the bugs being reported.
Since setting it up, it has saved me a lot of time and headaches, and I rate it very highly. I've never had to use the support, as I've never had any trouble with it, but I'll assume it's Great!
Raygun saves us so much time we're hooked for life. Great support too.
we used raygun at talenthouse to track errors within our codebase. fairly decent tool, simple ui. even helped the raygun team track down a few issues as we were using their scala integration library.