DORA Metrics

DORA metrics from your real GitHub data — not surveys

Koalr computes all four DORA metrics automatically from GitHub push events, deployment webhooks, and incident timelines. No manual tagging, no spreadsheets.

4 metrics
GitHub-native
Real-time updates
Team-scoped
See your DORA metrics in 5 minutes

The four DORA metrics

Research-validated by Google DORA since 2014. Benchmarks from the 2023 State of DevOps Report.

DF
Deployment Frequency
Deployments per day / week / month (per team)

How often your team successfully deploys to production. The highest-signal indicator of engineering throughput.

Elite
Multiple times per day
High
Once per day
Medium
Once per week
Low
Once per month or less
Data source: GitHub Deployments, Vercel, Railway, Netlify, Render, Fly.io, AWS CodeDeploy
LT
Lead Time for Changes
Time from first commit to production deployment

How long it takes for code to go from committed to running in production. Measures end-to-end delivery speed.

Elite
Less than 1 hour
High
Less than 1 day
Medium
1 week to 1 month
Low
More than 1 month
Data source: GitHub commits, PR merge timestamps, deployment events
CFR
Change Failure Rate
(Deployments that cause incidents / total deployments) × 100

The percentage of deployments that result in a degraded service or require remediation. Koalr correlates deployments to incidents automatically.

Elite
0–5%
High
5–10%
Medium
10–15%
Low
More than 15%
Data source: Deployment events correlated with PagerDuty / Incident.io incidents (4-hour window)
MTTR
Mean Time to Restore
Average time from incident triggered to incident resolved

How quickly your team recovers when things go wrong. Measures the effectiveness of your incident response process.

Elite
Less than 1 hour
High
Less than 1 day
Medium
1 day to 1 week
Low
More than 1 week
Data source: PagerDuty, Opsgenie, Incident.io incident timelines

See your DORA metrics in 5 minutes

Connect GitHub and see deployment frequency, lead time, CFR, and MTTR computed from your real data. No surveys, no tagging, no configuration.

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