DeployBeat turns the Git and deploy events you already produce into DORA metrics and delivery trends — with real, incident-based change failure rate and MTTR. Built for self-hosted GitLab, GitHub Enterprise and Bitbucket, where cloud tools cannot reach.
Push architecture · no inbound access · no agent on your servers
The gap in the market
LinearB, Sleuth and the rest reach into your Git over the internet. When your GitLab, GitHub Enterprise or Bitbucket runs on a private network, that pull never connects — so the teams with the strictest delivery and compliance needs are exactly the ones the market leaves without data.
Banks, government, defense and healthcare run Git on-prem. DeployBeat is built for them — your server pushes events out to us, so no firewall port is ever opened.
The four DORA keys, scored Elite / High / Medium / Low, per project and per team — the language your board and your engineers already speak.
Change failure rate and MTTR from real incidents, not guessed from a deploy flag. Decisions you can defend in a review.
The four keys
Every metric is windowed, deduplicated and correlated to your work items — then scored against the DORA benchmarks so you know exactly where you stand.
How often you ship to production — distinct deploys per window. Higher frequency means smaller, safer changes.
From first commit to production, correlated by issue. Shorter lead time means faster feedback and value delivery.
Share of deploys that caused an incident — measured from your real incident feed, not guessed from a status.
From incident open to resolved — the canonical DORA definition of how fast you recover in production.
Why it is more accurate
Most tools infer change failure and recovery from a deploy's status flag — a weak signal. DeployBeat correlates deploys with your real incidents from PagerDuty and Prometheus Alertmanager.
The canonical DORA definition of time to restore service — not the gap between two deploys.
A deploy followed by an incident inside its attribution window counts against the rate. Honest and defensible.
How it works
No code access. No scraping. No agent. DeployBeat ingests the events you already emit and turns them into delivery intelligence.
Point Git or CI at DeployBeat, signed and verified per installation.
Commits, PRs, builds and deploys link to your Jira issues and projects.
The four keys update continuously — windowed and deduplicated.
A web dashboard and a native panel inside every Jira project.
Trends and team breakdowns show where to focus next.
Integrations
Ten native connectors today — source control, CI/CD and incident feeds — all self-hostable and behind your firewall.
On the roadmap: GitHub Actions native · Slack & Teams alerts · Sentry · SonarQube Roadmap
On the roadmap
DORA is the foundation. Deeper engineering intelligence is on the way — shown here so you know where DeployBeat is headed.
Cycle time, review time, PR size and throughput per team.
Org-wide rollups and team comparison for leadership reviews.
Anomaly detection and bottleneck recommendations from your delivery data.
Set targets per metric and get notified when a trend slips.
Security & compliance
Security is the design, not a feature. The whole architecture exists so regulated engineering orgs can measure delivery without opening their network.
Your Git and CI push to us. No inbound access, no agent on your servers, no firewall port opened.
HMAC-SHA256 and per-install tokens with constant-time comparison; Jira calls validate the Forge token (RS256).
TLS in transit, encryption at rest, and strict per-installation tenant isolation. We never store source code.
Uninstall triggers automatic erasure of your installation's data. Export or deletion on request, any time.
Data Processing Addendum with EU Standard Contractual Clauses. Data minimization by design.
Enterprise access controls and attestations are on the roadmap for general availability.
How we compare
Where DeployBeat is different by design — not a feature checklist, a fundamentally different reach.
| Capability | DeployBeat | LinearB | Sleuth | Swarmia |
|---|---|---|---|---|
| Works with Git behind a firewall | Yes | No | No | No |
| No inbound access / no agent | Yes | Partial | No | No |
| Self-managed GitLab & GitHub Enterprise | Yes | Partial | Partial | Partial |
| Bitbucket Data Center | Yes | No | No | Partial |
| Real incident-based CFR & MTTR | Yes | Partial | Partial | No |
| Native panel inside Jira | Yes | No | No | No |
| Data erased on uninstall | Yes | Varies | Varies | Varies |
Comparison reflects the behind-the-firewall use case. Cloud tools lead on breadth of insights today — see our roadmap above.
Who it is for
Board-ready delivery performance across every team, in language leadership trusts.
Prove the impact of platform work with hard delivery and reliability numbers.
Finance, government, defense and healthcare — measure without leaving the network.
See where lead time and failure rate slip, per team, before it becomes a fire.
Design partners
DeployBeat is in early access. The quotes below are illustrative placeholders — be our first named design partner and yours goes here.
“Illustrative placeholder — e.g. finally DORA numbers for our on-prem GitLab, without security signing off on an inbound tunnel.”
“Illustrative placeholder — e.g. CFR from real incidents changed how our review meetings work.”
“Illustrative placeholder — e.g. the Jira panel means the team sees delivery data where they already work.”
Pricing
DeployBeat is in early access — plans below are indicative and final pricing is being set with our first customers.
FAQ
DeployBeat ingests the events you already produce — commit, merge/PR, build and deploy — deduplicates them, correlates them to your Jira issues, and derives deployment frequency, lead time, change failure rate and MTTR per time window, scored against the DORA benchmarks.
No. It uses an outbound push model: your Git and CI send signed webhooks to us. No inbound firewall port is opened and no agent runs on your servers.
GitLab (self-managed and cloud), GitHub Enterprise and cloud, Bitbucket Data Center and Cloud, Gitea and Forgejo, Azure DevOps (Repos and Pipelines), Jenkins, Argo CD, PagerDuty and Prometheus Alertmanager, plus a native Jira panel. More connectors are on the roadmap.
Point a signed webhook from your Git or CI at DeployBeat per installation. Metrics begin computing as events arrive — typically minutes, with no code access.
Most tools guess failure from a deploy's status. DeployBeat correlates deploys with real incidents from PagerDuty or Alertmanager, so CFR reflects deploys that actually caused an incident and MTTR is the true open-to-resolved time.
No. We store only the metadata needed to compute metrics — event references and URLs, Jira issue keys, commit author name and timestamps. No source code, passwords or payment data.
On managed infrastructure with encryption in transit and at rest, isolated per installation. Sub-processors are listed in our Privacy Policy and DPA.
Uninstall triggers automatic erasure of that installation's data from our backend. You can also request export or deletion at any time.
Yes. Metrics are broken down by project and team, correlated through your issue keys, so leadership and individual teams see the same source of truth.
Yes — those behind-the-firewall installs are exactly who DeployBeat is built for, alongside cloud GitLab and GitHub.
DeployBeat ships a native Forge app that shows DORA metrics inside each Jira project, and validates every call with the signed Forge Invocation Token.
Metrics are served over an authenticated HTTP endpoint per installation. A broader public API is on the roadmap.
The dashboard and metrics API require a per-installation token. SSO and role-based access control are on the roadmap for enterprise plans.
DeployBeat runs as a managed service today. Talk to us about deployment options for the strictest environments.
DeployBeat is in early access; plans are indicative and final pricing is being set with our first customers. Request access and we will walk you through it.
Yes. Our Data Processing Addendum incorporates the EU Standard Contractual Clauses, with UK and Swiss equivalents where relevant.
Continuously — the four keys recompute as new events arrive, so the dashboard reflects your current window in near real time.
Yes. Each metric has a time series with daily, weekly or monthly buckets, so you can see whether the needle is actually moving.
DeployBeat degrades gracefully — instance-wide metrics still compute, and per-project breakdowns fill in as correlation improves.
Request early access below. Tell us your stack and we will get your first installation sending events and computing metrics.
DeployBeat is in early access. Tell us your stack and we'll get you set up — usually in minutes.