Blackfire.io VS gatling.io

Not heard of blackfire.io, I mainly use lighthouse, screamingfrog and CRUX data :D. Source: about 1 year ago

Do you have XP with alternatives to blackfire.io? It may helps, but sounds a little expensive for evaluating performance issues. I found also MySQLTuner which is free (of course it only helps with the database). Source: over 1 year ago

Go get a subscription to blackfire.io and profile your application. I guarantee you that your queries to the DB are shit and not using indices. Redis will just mask the issue. You probably also have a bunch of PHP code being ran in loops. Source: over 1 year ago

Although the connection with the API should no longer cause the trouble, we knew that this was the most compute-heavy part of the platform. So the fewer requests are sent to that API, the better the website performance would be. We used Blackfire.io to check how often the web app uses the API and we got interesting results. We noticed that the homepage, the most frequently visited page, used the API twice per each... - Source: dev.to / almost 2 years ago

Nice article; skimming over it, it seems exhaustive and well-written. But nowadays, I'd generally recommend blackfire.io over XHProf. Yes, it's a (mostly) closed source SAAS platform, and the free tier only offers the most absolutely basic of tools, but by the time performance really starts to matter on your wordpress site, I don't think ~$30 a month is a dealbreaker. Installation is easier, the visualisation... Source: almost 2 years ago

Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze. - Source: dev.to / 2 months ago

Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue. - Source: dev.to / 10 months ago

New to the .NET community and trying to learn! I have used tools such as Apache JMeter (Java), gatling.io (Java) and Locust (Python) that are decent full featured web perf frameworks. Typically these integrate well with your code, and can be run as part of your unit/integration tests and produce offline reports. Source: about 1 year ago

Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. But the tool is solid. Source: about 1 year ago

I used SpringBoot 3.0.2, GraalVM 22 (JVM mode), a MacOS 2,6 GHz 6-Core Intel Core i7, running 1000 users for 5 minutes. The idea was to test how memory consumption and CPU usage evolve. Below, I compared the footprint of these three solutions. I collected the total count of requests, throughput, memory consumption, and CPU usage using VisualVM and Gatling. - Source: dev.to / over 1 year ago