Put your DORA metrics to work with Swarmia
Most tools that help you track DORA engineering metrics are nothing but static dashboards. Swarmia not only tracks your DORA metrics but also helps you make long-lasting improvements based on them.
What are DORA metrics?
DORA metrics were popularized by the annual State of DevOps reports and the 2018 book Accelerate. The four metrics are used to predict an organization's sofware delivery performance and as a result, business success.
1
Change lead time
The time it takes to get committed code to run in production
2
Deployment frequency
How often a software team pushes changes to production
3
Change failure rate
The share of incidents, rollbacks, and failures of all deployments
4
Time to recovery
The time it takes to restore service in production after an incident
Go beyond DORA metrics
DORA metrics are a great start when you’re looking to improve your software delivery performance. Here’s how you can achieve that — and more — with Swarmia.
Decrease your PR and issue cycle time with flow insights
✅ Measure your change lead time for individual PRs, stories, and epics
✅ Quickly identify and resolve process bottlenecks like slow code reviews, too much work in progress, and working alone on bigger issues
✅ Unblock the flow of software delivery
Use deployment insights to drive improvement
✅ Understand how you’re doing in terms of the remaining three DORA metrics: deployment frequency, failure rate, and mean time to recovery
✅ Encourage collaboration, set work-in-progress limits and targets for deployment frequency
✅ Get higher-quality features to market faster
Improve developer experience with healthy metrics and automation
✅ Use engineering metrics to help your software engineers — not to spy on them or rank them
✅ Set customizable, team-wide working agreements and stay on track with automated nudges and reminders
✅ Get daily digests, story completion notifications, and personal alerts on Slack
“With Swarmia, we’ve been able to highlight problem areas, set target levels, and drive continuous improvement. In two months, we’ve decreased our teams' cycle time by 40%.”
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