04For DevOps and platform
DORA metrics that actually help you ship faster
Stop guessing about your CI/CD performance. Track deployment frequency, lead time, change failure rate, and MTTR, with insights that drive real improvements.
Pipeline / main
Sample data- Commit
- Build
- Test
- Deploy
- Verify
Deploy events from GitHub Actions, GitLab CI, Bitbucket Pipelines, Azure Pipelines or AWS CodeBuild.
- All 4 DORA metrics
- CI/CD provider native
- Real-time tracking
- Deployment Frequency
- 4.2/day
- +23%
- Lead Time
- 2.1 days
- -18%
- Change Failure Rate
- 7.8%
- -5%
02Signals
What slows you down today
Open signals
3 openDORA Metrics Are Manual
You know DORA metrics matter, but calculating them manually from CI logs is painful. By the time you have the data, it's already stale.
Blind spotPipeline Blind Spots
Your CI/CD pipeline is complex. When deployments slow down or fail more often, finding the root cause takes hours of log diving.
Blind spotNo Trend Visibility
You can see today's deployment, but how does it compare to last month? You lack historical trends to prove improvements or catch regressions.
Blind spot
03Capabilities
What you get on day one
Deployment Frequency
Track how often you deploy to production. See trends over time and compare across teams or services.
Lead Time for Changes
Measure time from commit to production. Identify bottlenecks in your pipeline and optimize the path to deploy.
Change Failure Rate
Track what percentage of deployments cause incidents. Correlate with code changes to find problematic patterns.
Time to Restore
Measure how quickly you recover from failures. MTTR is a key indicator of operational maturity.
CI/CD Provider Native
Direct integration with GitHub Actions, GitLab CI, Bitbucket Pipelines, Azure Pipelines, and AWS CodeBuild. No agents to install, no configuration headaches, just connect and go.
Elite Benchmarking
Compare your metrics against DORA research benchmarks. Know if you're elite, high, medium, or low performer.
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04Playbook
How teams use DevLyTicks
- 01
Follow release pipeline health per service
Track delivery outcomes per repository and per service directly from the data, so regressions in one pipeline are visible without digging through logs.
Read the CI/CD guide - 02
Catch flaky builds by severity
Smart alerts rank build failures and pipeline stalls so critical breakage pings you while cosmetic noise stays in the digest.
Configure alerts - 03
Reduce change failure rate with evidence
DORA trends show whether a rollout, gate, or automation actually lowered change failure rate instead of hiding it behind heroics.
Before DevLyTicks
After DevLyTicks
- Automated DORA tracking
- Real-time dashboards
- Pipeline bottleneck detection
- Guessing about improvements
- No historical trends
- Reactive to failures
05Shift
From guesswork to evidence
06Start
Ready to track DORA metrics automatically?
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