Deployment frequency
Deployment frequency is the rate at which software changes are deployed to a target environment, such as production.
Platform Engineering on Kubernetes
Deployment frequency is the rate at which an organization deploys software changes to production or other target environments.
- How it is used
- Measures release cadence as a delivery-velocity indicator and a starting point for assessing platform initiatives.
- How deep it goes
- Works through event collection, conversion, storage, and per-service aggregation, while leaving source-specific mappings and calculation mechanisms customizable.
- Examples
- Demonstrates a Kubernetes-event-to-CDEvents mapping and a daily response containing deployment counts.
- What you can do after
- Build it from scratch with Knative event sources, transformation and calculation functions, and PostgreSQL storage.
Read how Platform Engineering on Kubernetes explains deployment frequency →
Effective Platform Engineering
Deployment frequency is the rate at which software changes are deployed to a target environment.
- How it is used
- Measures delivery agility for development teams and contributes to evaluating platform-enabled business value.
- How deep it goes
- Defines the DORA measure, distinguishes team use from platform evaluation, and pairs it with leading indicators without detailing its calculation.
- Examples
- Uses Epetech’s successful daily deployments, per-team frequency, and automated-deployment percentage as practical measurement examples.
- What you can do after
- Diagnose delivery bottlenecks by comparing deployment frequency with automation coverage and deployment frequency per team.
Read how Effective Platform Engineering explains deployment frequency →
Architecture Modernization: Socio-technical alignment of software, strategy, and structure
Deployment frequency is the rate at which an organization successfully deploys software changes to a production environment.
- How it is used
- Uses deployment frequency to monitor modernization progress, developer-platform experience, and software delivery performance.
- How deep it goes
- Defines deployment frequency and applies it across modernization and platform measurement, but stops short of prescribing a calculation method.
- Examples
- Uses strategy-deck comparisons with industry averages and high performers as the clearest concrete application.
- What you can do after
- Evaluate modernization and platform effects by comparing deployment frequency with complementary delivery, reliability, and experience indicators.
Related concepts
- DORApart of · DORA is a research and measurement framework for software delivery performance, commonly using deployment frequency, lead time for changes, change failure rate, and time to restore service.
- change failure rateuses · Change failure rate is the proportion of deployed software changes that cause failures requiring remediation, rollback, recovery, or other corrective action.
- frequencykind of · Frequency is the count or rate at which an item, event, outcome, or periodic cycle occurs within a specified collection or interval.
- automationmeasured by · Automation is the execution of tasks or processes by machines or software with reduced direct human intervention.
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