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Time to Deploy

Time to Deploy

Learn how to use the DORA Time To Deploy metric to improve the speed of your pipeline workflow.

Updated over a week ago

Time to Deploy

  1. What is Time to Deploy metric

  2. Why Time to Deploy Matters

  3. How Umano Measures Time to Deploy

  4. How Umano Visualises Time to Deploy

  5. What's included when calculating Time to Deploy

  6. What good results for Time to Deploy looks like

  7. Practices that influence and improve Time to Deploy

  8. Tips to improve Time to Deploy

  9. Common Anti Patterns to Watch Out For When Using Time To Deploy

1. What is Time to Deploy?

Time to Deploy measures the duration it takes for a code change to move from commit to deployment in a production or staging environment. It reflects the efficiency of a team’s delivery pipeline.

2. Why Time to Deploy Matters

A short Time to Deploy ensures faster delivery of features and fixes, which enhances customer satisfaction and minimizes downtime. It also reduces the risk of code rot and allows teams to react swiftly to changes or incidents.

3. How Umano Measures Time to Deploy

Time to deploy is the median of the build trigger time of the first builds belonging to each deployment and the completed time of the deployment builds for the total number of deployments that occurred during an interval. Builds created with tags are used to identify deployments.

4. How Umano Visualises Time to Deploy

5. What's included when calculating Time to Deploy

  • Number of deployments

  • Number of builds per deployment

  • Number of issues per deployment

  • Build success rate per deployment

  • Time between deployments

  • Number of contributors per deployment

6. What Good Results for This Metric Look Like

  • Elite Performance: Under one hour.

  • High Performance: Between one hour and one day.

  • Medium Performance: One to seven days.

  • Low Performance: More than a week.

7. Practices That Influence and Improve This Metric

  • Optimize Pipelines: Identify and eliminate slow stages in the CI/CD pipeline.

  • Parallel Processing: Run tests and builds concurrently to save time.

  • Incremental Builds: Use caching mechanisms to avoid rebuilding unchanged components.

  • Simplify Approval Processes: Streamline manual approval steps or use automated checks.

8. Tips to Improve Time to Deploy

  • Regularly monitor pipeline metrics and address bottlenecks.

  • Use lightweight containers to speed up build times.

  • Invest in infrastructure and tools that support faster processing.

  • Establish clear communication among team members to avoid delays.

9. Common Anti-Patterns to Watch Out For When Using Time to Deploy

  • Over-Complicated Pipelines: Excessive stages and checks slow down deployments unnecessarily.

  • Manual Gatekeeping: Requiring too many manual approvals creates delays.

  • Lack of Parallelization: Running sequential steps that could be parallelized increases deployment times.

  • Neglecting Pipeline Maintenance: Outdated dependencies or misconfigured pipelines lead to inefficiencies.

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