This video will show you how to quickly setup error monitoring and logging using Rollbar in your Ruby on Rails project.

This video will show you how to setup error monitoring and logging for a Ruby on Rails project that also have a JavaScript frontend. This gives you both backend and frontend observability.

The video will show you how to setup error monitoring and logging for your JavaScript based applications using Rollbar in under 2 minutes.

This video covers how source maps work and need to be configured correctly to allow error monitoring tools to function correctly. The example uses Rollbar as the monitoring solution.

Quickly identify which feature flag is part of the error within you React application using Growthbook and Rollbar.

Very simple demo of Rollbar, serving up an HTML file and some Javascript.

We all know how tricky it can be to keep track of costs, especially when your projects spike or with the latest feature that your users love. That's why we've been working on a solution to ensure you never have surprise billing due to on-demand occurrences. Introducing our latest feature to give you both flexibility and control: Overage Budgets.

We're thrilled to introduce a major update to your Rollbar experience: the new Rollbar Dashboard! Designed with your workflow in mind, this dashboard provides an intuitive, customizable view of your application’s item activity and project setup, all in one place.

How to improve your release quality by using Rollbar to detect new and reactivated errors from production, staging or qa environments. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.

Discover, predict, and resolve errors in real-time. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.