How we deploy new features
There’s been some recent discussion about rolling out new features. Ross at Flickr talked about using flags and flippers. Forrst mentioned their use of user buckets. The nice thing about…
There’s been some recent discussion about rolling out new features. Ross at Flickr talked about using flags and flippers. Forrst mentioned their use of user buckets.
The nice thing about these techniques is that they’re simple and easy to tweak to meet your specific needs. Before launching Orgs, we relied on user feature flags to determine which users had beta access. However, we didn’t want to worry about enabling Orgs for all of the user’s fellow team members. This lead to a few UI if statements like this:
<% if @user.has_orgs? || @user.organizations.size > 0 -%>
<a href="...">Organizations</a><!-- link to organizations tab -->
We deploy a lot, but I don’t like littering the commit history with small configuration tweaks.
Replacing the Downloads server recently gave me a chance to try a slightly new technique: Using Redis for configuration management:
def use_nodeload?
case GitHub::Config[:nodeload]
when 'public' then current_repository.public?
when 'all' then true
else false
end
end
At one point, I was even sending a percentage of traffic to the new server to see how it handled things. If there were bugs, I could easily tweak the value in Redis without redeploying anything. If we need buckets, we could use Redis’ awesome Set commands.

Written by
Related posts
What’s coming to our GitHub Actions 2026 security roadmap
A look at GitHub Actions’ 2026 roadmap, outlining how secure defaults, policy controls, and CI/CD observability harden the software supply chain end to end.
Updates to GitHub Copilot interaction data usage policy
From April 24 onward, interaction data—specifically inputs, outputs, code snippets, and associated context—from Copilot Free, Pro, and Pro+ users will be used to train and improve our AI models unless they opt out.
GitHub availability report: February 2026
In February, we experienced six incidents that resulted in degraded performance across GitHub services.