GitHub Engineering

Exception Monitoring and Response

Like most software applications, GitHub can generate a few exceptions. Incoming exceptions range from system-level issues including Git timeouts and missing references, to application-level issues including simple code mistakes and JavaScript errors.

Brubeck, a statsd-compatible metrics aggregator

One of the key points of GitHub’s engineering culture —and I believe, of any good engineering culture— is our obsession with aggressively measuring everything.

Deploying branches to

At GitHub, we use a variant of the Flow pattern to deploy changes: new code is always deployed from a pull request branch, and merged only once it has been confirmed in production. master is our stable release branch, so everything on master is considered production-ready code. If a branch deploy ships bad code containing a bug or performance regression, it is rolled back by deploying the latest master to production.

Rearchitecting GitHub Pages

GitHub Pages, our static site hosting service, has always had a very simple architecture. From launch up until around the beginning of 2015, the entire service ran on a single pair of machines (in active/standby configuration) with all user data stored across 8 DRBD backed partitions. Every 30 minutes, a cron job would run generating an nginx map file mapping hostnames to on-disk paths.

Browser Monitoring for

Most large-scale web applications incorporate at least some browser monitoring, collecting metrics about the user experience with JavaScript in the browser, but, as a community, we don’t talk much about what’s working here and what’s not. At GitHub, we’ve taken a slightly different approach than many other companies our size, so we’d like to share an overview of how our browser monitoring setup works.

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