![Sumit D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sumit D.") SD Sumit D. QA Engineer Mid-Market (51-1000 emp.) 7/15/2026 "Reliable, Scalable Load Testing with Code and CI/CD Integration" 4.5/5 What do you like best about Gatling? What I like most about Gatling is its ability to create realistic, scalable load tests using code. Because the test scenarios are written in code, they’re easy to version control, review, and integrate into CI/CD pipelines. As a result, performance testing becomes a natural part of the development process, rather than something that only happens right before a release. Review collected by and hosted on G2.com. What do you dislike about Gatling? One area where Gatling could improve is the learning curve for new users. While the code-based approach is powerful and flexible, it can feel intimidating for testers without a programming background. More beginner-friendly tutorials, ready-to-use templates, and guided setup options would make onboarding smoother and less time-consuming. The reporting is comprehensive, but I’d like to see more interactive dashboards and built-in trend analysis to compare performance across multiple test runs without having to rely on external tools. Integration with popular observability platforms is possible, but the setup can sometimes involve extra configuration steps that could be simplified. From a UI perspective, there’s also room to make navigation and test management more intuitive, especially on larger projects. It would be helpful to add more AI-powered capabilities as well, such as automatic bottleneck detection, test scenario recommendations, or suggestions for optimizing load tests based on previous runs. Overall, these feel like opportunities for enhancement rather than major drawbacks. Gatling has been reliable and performs well for large-scale load testing, but improvements in usability and analytics would make it even more accessible and productive. Review collected by and hosted on G2.com. What problems is Gatling solving and how is that benefiting you? Before adopting Gatling, performance testing was largely a manual effort and typically happened late in our release cycle. That timing made it hard to spot scalability issues early, and tracking down performance bottlenecks often required a lot of time and coordination. With Gatling, we’ve been able to automate load and stress tests and integrate them into our CI/CD pipeline, so we can validate application performance with every major release. This shift has helped us catch performance regressions sooner, improve stability under peak traffic, and go into deployments with more confidence. The detailed reports and metrics have also cut down the time needed to review and interpret results, which makes it easier for developers and QA engineers to work together on targeted performance improvements. As a result, we’ve shortened our performance testing cycle, lowered the risk of production issues during high-traffic periods, and delivered more reliable applications to our users. Overall, Gatling has made performance testing more consistent, repeatable, and efficient, and it provides a strong return on the time we invest in building automated test scenarios. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic See what 93 reviewers think of Gatling 4.4 out of 5 · Verified reviews from real users [ Read all reviews ](https://www.g2.com/products/gatling/reviews)