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Deploy Frequency Metric

Deployment Frequency measures how often code is released to production, helping teams assess delivery velocity, confidence, and agility across services. Higher frequency indicates faster cycle times and stronger DevOps maturity.

Steven Silverstone
Updated by Steven Silverstone
Definition

The Deploy Frequency Metric is the total number of deployments to production in a given period.

Why is This Metric Useful?
  • Indicates how often teams deliver value to end users.
  • A high number of deployments indicates short cycle times. Teams deploying frequently show that they have confidence in pushing value and fixing issues quickly. High-performing teams invest in foundations that allow them to deploy multiple times a day and quickly recover from failures

How to Use it?
  • Track deploy frequency to improve delivery pipelines.
Examples for Context
  • Frequent deployments reduced feature delivery lead times.
Data Sources
  • Deployment logs.
Calculation
  • The number of unique release tags, according to your Git provider, divided by the number of days within the specified period of the iteration.
Tunable Configurations
  • Definition of "production deployment".
Benchmarking Guidance
  • High-performing teams deploy multiple times per day.
Error Margins and Limitations
  • Includes partial or rollback deployments, which may not reflect new value delivery.
Stakeholder Use Cases
  • DevOps: Optimize CI/CD pipelines.
  • Managers:
    • Measure end-user delivery rates.
    • Improve automated test coverage.
    • Integrate CI/CD tools.
    • Automate the release validation phase and release process.
    • Reduce the error recovery time on production

How did we do?

Cycle Time Metric

Done Branches Metric

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