Operations | Monitoring | ITSM | DevOps | Cloud

Enabling the Launch Darkly integration allows engineers to automate Feature Flag toggles based on errors captured in Rollbar. This means that if you ship a feature to users, only 1 user will see an error before Rollbar automatically toggles the feature flag for all subsequent users. Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate rather than spending time monitoring, investigating, and debugging.

Get complete access to your Rollbar data and find the insights you need. With Rollbar Query Language (RQL), you can query your Rollbar data in any way you want. Easily find errors that occurred between specific deploys, aggregate errors for specific customers, or find the number of 500s your users experienced broken down by URLs.

Rollbar allows you to see which versions of your code are throwing exceptions. This is particularly helpful if you are continuously deploying your apps/services because you can see if recent occurrences are coming from the latest deployed version. Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate rather than spending time monitoring, investigating, and debugging.

Rollbar is not the “last stop” for monitoring and debugging - often you might also be interested in what your other monitoring and performance tools are telling you. Those tools were a few clicks and copy-pastes away - now with Service Links, they are just 1 click away. Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate rather than spending time monitoring, investigating, and debugging.