Case Study: Cloud9 cuts production time and fixes errors faster with Raygun

Cloud9 use Raygun to ship with confidence and fix errors fast

Cloud9, a large cloud IDE provider with about half a million registered users, needed to cut production time and associated costs while improving software quality. Developers were spending significant time chasing reported errors and deciphering user emails or incomplete stack traces, with uncaught Node.js exceptions creating extra risk of server crashes.

By integrating Raygun, Cloud9 gained detailed diagnostics (down to the exact line of code) and fast error detection across front-end and Node.js backends, plus tight GitHub workflow integration. The result: far quicker fixes, higher software quality, reduced operational risk, and the confidence to ship reliable releases more often.

Cloud9

Fabian Jakobs

Lead Developer