Brian Rue Email & Phone Number

San Francisco, California, Us

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. Our mission is to help developers build software quickly and painlessly.We want developers to be:- Continuously proactive, fixing critical errors sooner with real-time alerts and automated workflows, minimizing the impact on end-users.- Continuously learning, with a grouping engine that’s powered by machine learning trained with our database of billions of errors.- Continuously predictive, reducing deployment risk with predictive code analytics at each step, from dev to staging to release.Unlike logs and APM, Rollbar is built for code. Those tools are great for monitoring infrastructure: they make sure it's working today, just like it did yesterday. But code isn’t supposed to work the same way it did yesterday. It’s *supposed* to change. If dev teams don’t design their process to expect the unexpected, they’ll always be one step behind errors.Rollbar’s error signals are trusted by developers, unlike other error solutions, because our grouping engine is the most accurate in the industry. In other solutions, error grouping is hardcoded and static. Rollbar's error grouping engine is powered by machine learning trained on our database of billions of errors. We call this Automation-Grade Grouping, and it forms the foundation for our AI-Assisted Workflows, like automatically turning off feature flags in LaunchDarkly, pausing canary deployments in Kubernetes, creating JIRA tickets, and sending PagerDuty alerts.More than 5,000 businesses, including Twilio, Salesforce, Twitch, and Affirm, use Rollbar to deploy better software, faster while quickly recovering from critical errors as they happen.

Helping out with tech, strategy, and org. Acquired by Chegg in June 2014.

Hong Kong, Hk

I worked mostly in PHP, Javascript, and Actionscript to build web2.0 applications (hikkup.com and cubevoice.com) and flash widgets.

I got my roommate and another friend to start this with me... we bought hundreds of used textbooks from students on campus and then sold most of them on Amazon. We did make money, but it wasn't scalable enough to turn into something real.

I made cold calls, negotiated deals, and worked to automate the business processes as much as possible. The most fun part was hacking together a collaborative CRM application in about three weeks.