Deployment Frequency
How often an organization successfully releases to production. Elite teams deploy multiple times per day; high performers deploy daily; medium performers weekly; low performers monthly or less.
Engineering Performance
Oct 24, 2023 · 8 min read
DORA Metrics Explained: What They Mean and How to Improve Them
SJ
Sarah Jenkins
Principal DevOps Architect
Sarah has spent a decade optimizing high-velocity engineering orgs. At Launchpad, she focuses on translating raw observability data into actionable engineering strategy.
The Foundation
Why DORA became the industry standard
For years, engineering teams measured success with vanity metrics: lines of code written, tickets closed, or hours spent in meetings. These numbers are easy to game and even easier to ignore.
Enter the DORA (DevOps Research and Assessment) metrics. Originating from the work of Nicole Forsgren, Jez Humble, and Gene Kim, these four metrics were proven to correlate directly with business outcomes: higher profitability, faster time-to-market, and better employee satisfaction.
The key isn't just tracking them — it's understanding what "Elite" performance looks like in your context and using tools like Launchpad to close the gap between your current state and your potential.
The Four Pillars
The four core metrics of high-performing teams
Understanding the definition is step one. Understanding the nuance is step two.
Lead Time for Changes
The amount of time it takes a commit to get into production. This measures the flow efficiency of your pipeline. Elite teams see changes in production in under an hour; high performers under a day.
Change Failure Rate
The percentage of deployments that result in a failure that requires immediate remediation. Elite teams keep this below 15%; high performers under 30%. Lower isn't always better if it slows down velocity.
Mean Time to Restore (MTTR)
The average time it takes to restore service after a failure. Elite teams recover in under an hour; high performers under four hours. Fast recovery proves you have observability and automated rollback.
Data Source
2023 State of DevOps Report Benchmarks
Based on aggregated data from over 3,500 organizations, these are the industry averages by performance tier.
| Performance Tier | Deployment Frequency | Lead Time | Change Failure Rate | MTTR |
|---|---|---|---|---|
| Elite | Daily or more | Under 1 hour | Under 15% | Under 1 hour |
| High | Weekly | Under 1 day | Under 30% | Under 4 hours |
| Medium | Monthly | Under 6 months | Under 48% | Under 24 hours |
| Low | Quarterly or less | 6 months or more | Over 48% | Over 24 hours |
Implementation
How to measure these in your existing toolchain
You don't need a new tool to start. You just need to connect the dots between your Git provider, CI/CD runner, and log aggregator.
Git Provider Integration
Track commits and pushes to production. Connect your GitHub/GitLab webhook to your metrics pipeline to count pushes to the `main` or `master` branch.
CI/CD Logs
Calculate Lead Time by querying the timestamps of your first commit and the final "Success" log message in your CI runner. Use structured logging for accuracy.
Monitoring & APM
For Change Failure Rate, define a "failure" as a service error rate spike or a health check failure. For MTTR, track the time difference between the error alert and the "Service Restored" log.
Built-in Analytics
How Launchpad surfaces DORA metrics automatically
Most teams spend more time building their metrics dashboards than improving their pipelines. Launchpad handles the math for you. We parse your Git history and pipeline events to generate these metrics in real-time. No SQL queries, no custom scripts required.
Our DORA dashboard gives you a weekly snapshot of your team's performance, highlighting exactly which stage of the pipeline is causing the bottleneck — whether it's slow tests, long builds, or a fragile deployment step.
1{
2 "deployment_frequency": "Daily",
3 "lead_time_minutes": 42,
4 "change_failure_rate": 0.12,
5 "mttr_minutes": 18
6}
SJ
Sarah Jenkins
Principal DevOps Architect
Sarah Jenkins is a Principal DevOps Architect at Launchpad. She is a frequent speaker at KubeCon and CloudNativeCon, author of "The Cloud Native Playbook," and former SRE at Stripe. She is passionate about making engineering metrics actionable rather than just vanity.