Azure DevOps doesn't track DORA metrics. Koalr does.
Connect your Azure DevOps repos and pipelines in minutes. Get deployment frequency, lead time, change failure rate, and MTTR — automatically.
Azure DevOps Analytics surfaces pipeline runs, work item cycle time, and build pass rates in separate views that never combine into the four DORA metrics. Koalr handles the cross-service correlation so you don't have to.
All four DORA metrics from your Azure DevOps data
Koalr calculates each metric correctly — filtered to production, with proper commit correlation and rollback detection — not the approximations you get from native Azure Analytics widgets.
Deployment Frequency
Koalr pulls from the Azure Pipelines Releases API filtered to your production environment — not CI build counts that inflate the number 10-50x. See daily, weekly, and monthly deployment cadence per service.
Lead Time for Changes
Correlates commit timestamps from Azure Repos with release completion times from Azure Pipelines using artifact commit SHAs. No manual wiring, no Power BI DAX formulas — it works from your first connection.
Change Failure Rate
Combines failed pipeline deployment status with rollback release detection and optional Azure Boards incident tag correlation. Gets you accurate CFR — not just pipeline error counts.
MTTR
Integrates with Azure Boards incident work items, PagerDuty, OpsGenie, and incident.io for accurate incident-to-resolution tracking. Measures the time that matters: service restored, not work item closed.
What Azure DevOps Analytics gives you — and what's missing
Azure DevOps has useful built-in analytics. But DORA metrics require joining data across Repos, Pipelines, and Boards — and the native OData entity sets don't do that join for you.
- Pipeline run counts and durations
- Release deployment history per stage
- Work item cycle time in Boards
- Commit-to-release lead time
- Change failure rate with rollback detection
- MTTR from incident to next successful deploy
- Cross-service DORA view in one dashboard
Powered by Koalr · Azure Repos + Pipelines + PagerDuty
Koalr also scores every PR before it merges with a 0–100 risk score based on change entropy, file churn, author expertise, and DDL migration detection. Your team sees the risk before the pipeline fires, not after the incident alert.
How it works — three steps to DORA metrics
No professional services engagement, no Power BI setup, no custom data pipeline to maintain.
Authorize Koalr with your Azure DevOps organization via OAuth. Koalr reads Azure Repos, Azure Pipelines release definitions, and optionally Azure Boards. No write access required. Koalr backfills 90 days of history immediately.
Koalr polls the Azure Pipelines Releases API for production deployments, correlates commit SHAs from Repos to release artifacts, and connects your incident data from Boards or a dedicated incident tool.
Your DORA dashboard populates with accurate deployment frequency, lead time, change failure rate, and MTTR — properly filtered to production, not mixed with dev or staging deployments.
Frequently asked questions about Azure DevOps DORA metrics
Why doesn't Azure DevOps calculate DORA metrics natively?
Azure DevOps Analytics exposes Repos, Pipelines, and Boards data through separate OData entity sets that don't join automatically. Deployment Frequency needs the Releases API filtered to production. Lead Time requires correlating commit timestamps from Repos with release completion timestamps from Pipelines. Change Failure Rate needs rollback detection logic. Azure DevOps surfaces these data points in separate views — it never combines them into the four DORA numbers. You'd need custom Power BI DAX joins or a separate data pipeline to get accurate DORA from the native tools.
Does Koalr work with Azure Pipelines YAML pipelines and Classic Release pipelines?
Yes. Koalr supports both YAML pipeline environments and Classic Release pipeline stage deployments. For YAML pipelines, Koalr uses the Environments API to detect production deployments. For Classic Releases, it queries the Releases API with your production stage definition ID. You can map multiple release definitions and pipeline environments to a single DORA dashboard.
Can Koalr handle multi-repo Azure DevOps organizations?
Yes. Koalr connects at the organization level and ingests all repos and pipelines you authorize. You can filter your DORA dashboard by service, team, or repo — or roll everything up to an org-wide view. Teams with 50+ Azure Repos repositories use Koalr to aggregate DORA metrics across services without needing separate connections per repo.
What does Koalr use for MTTR if we track incidents in PagerDuty, not Azure Boards?
Koalr integrates directly with PagerDuty, OpsGenie, and incident.io for MTTR data. If you use one of those tools, Koalr uses incident open and resolve timestamps from there — which is more accurate than Azure Boards work item state transitions. Azure Boards MTTR is available as a fallback for teams that use Boards as their primary incident log.
How long does setup take?
The Azure DevOps OAuth connection takes about 5 minutes. Koalr backfills 90 days of history and populates your first DORA dashboard on the same day. You configure your production environment mapping (which pipeline stage or YAML environment counts as production) during onboarding — this is the only manual step, and it takes about 2 minutes per pipeline.
Get DORA metrics from Azure DevOps today
Free trial. No credit card. Connect Azure DevOps in minutes.
Your DORA dashboard populates with 90 days of history from your first connection.