The GitHub GraphQL API has been publicly available for over 4 years now. Its usage has grown immensely over time, and we’ve learned a lot from running one of the largest public GraphQL APIs in

At GitHub, our community is at the heart of everything we do. We want to make it easier to build the things you love, with the tools you prefer to use—which is why we’re committed

Last week, we described how we improved the deployment experience for github.com. When we describe deployments at GitHub, the deployment experience is an important part of what it takes to ship applications to production, especially at GitHub’s scale, but there is more to it: the actual deployment mechanics need to be fast and reliable.

Introduction In January, we experienced one incident resulting in significant impact and degraded state of availability for the GitHub Actions service. January 28 04:21 UTC (lasting 3 hours 53 minutes) Our service monitors detected abnormal

This post is the third installment of our five-part series on building GitHub’s new homepage: How our globe is built How we collect and use the data behind the globe How we made the page

As GitHub doubled it’s developer head count, tooling that worked for us no longer functioned in the same capacity. We aimed to improve the deployment process for all developers at GitHub and mitigate risk associated with deploying one of the largest developer platforms in the world.

If you haven’t seen it, the GitHub Changelog helps you keep up-to-date with all the latest features and updates to GitHub. We shipped a tonne of changes last year, and it’s impossible to blog about

In December, we experienced no incidents resulting in service downtime. This month’s GitHub Availability Report will provide a summary and follow-up details on how we addressed an incident mentioned in November’s report.

GitHub’s engineering group moved from a monolithic, hero-based on-call rotation to a more balanced on-call culture in order to increase our on-call expertise and improve the experience for our customers.

@derrickstolee recently discussed several different git clone options, but how do those options actually affect your Git performance? Which option is fastest for your client experience? Which option is fastest for your build machines? How can these options impact