PatientsLikeMe

We welcome Winfield from @patientslikeme to be the third Airbrake user in our “Awesome Airbrakers” series.

What does your App do?
PatientsLikeMe is a Rails social health startup. We solve complex data analysis and visualization problems.  We help people sick with chronic illness to track and analyze their medical data and meet other people sick like they are for social support and to learn from them.

Setup. Environment, Language, Tools, Etc.
Rails 2.3, Postgres 9.1, redis 2.2, HAML/SASS, newrelic, Cloudfront, Resque, Passenger/REE, Coffeescript, jquery, prototype

Patients Like Me Screenshot

What do you like about Airbrake?
Great single-serving product for error collection and processing.

How long have you been using Airbrake?
Since 08/2008.

How do you normally deal with Airbrake Exception reports?
For each development sprint, one engineering is on interrupt-driven bug duty – triaging new bugs that are found and working through the backlog of issues.  This includes triaging the Exception reports every morning and opening bugs or fixing issues directly.

What could Airbrake do better?
Aggregate stats/notifications ala NewRelic’s error monitoring service and alerts for thresholds or “unusual” exceptions.

Suggest fixes for common problems, inject stackoverflow results for a given exception message.

Favorite Music to Hack to.
Liquid drum’n’bass http://www.bassdrive.com or trip-hop.

Other Favourites