DeployBeat measures deployment frequency, lead time, change failure rate and MTTR for teams running self-hosted GitLab or GitHub Enterprise - the delivery data that SaaS dashboards never see because they cannot get inside your network.
Push architecture · no inbound access · no agent on your servers.
The gap
LinearB, Sleuth and the rest reach into your Git over the internet. When your GitLab or GitHub Enterprise sits on a private network, that pull never connects - so the teams with the strictest delivery-performance needs are exactly the ones the market ignores.
Banks, government, defense and health run Git on-prem. DeployBeat is built for them: your server pushes events out to us, so no firewall port is opened.
Deployment frequency, lead time for changes, change failure rate and mean time to restore - scored Elite / High / Medium / Low, per project and team.
How it works
DeployBeat ingests the events you already produce and turns them into delivery metrics - no code access, no scraping.
Point your GitLab or GitHub Enterprise webhook at DeployBeat. Signed and verified per installation.
Commits, merge requests, builds and deploys are linked to your Jira issues and projects.
The four DORA metrics update as events arrive - windowed, deduplicated, and broken down by project or team.
A web dashboard and a native panel inside each Jira project.
The four keys
How often you ship to production - distinct deploys per window.
From first commit to production deploy, correlated by issue.
Share of production deploys that failed or were rolled back.
From a failed deploy to the deploy that restored service.
DeployBeat is in early access. Tell us your stack and we'll get you set up.
Get early access →