DORA
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.
Platform Engineering on Kubernetes
A DORA metric is a software delivery performance measure from the DORA research program, including delivery speed, throughput, and stability dimensions.
- How it is used
- Uses delivery and recovery measurements to assess whether platform changes improve software-delivery performance.
- How deep it goes
- Defines four delivery metrics and outlines collection and calculation stages; defers the fifth, reliability-focused metric.
- Examples
- Uses a deployment-frequency pipeline that stores CloudEvents, transforms them into CDEvents, and calculates metrics from PostgreSQL.
- What you can do after
- Evaluate/understand platform delivery performance and identify bottlenecks using metrics aggregated from delivery systems.
Effective Platform Engineering
The DORA framework is a software delivery performance framework centered on deployment frequency, lead time for changes, change failure rate, and time to restore service.
- How it is used
- Uses four delivery and reliability outcomes to evaluate platform effectiveness and connect engineering performance with business value.
- How deep it goes
- Defines all four measures and supplements them with leading indicators, while stopping short of prescribing a complete measurement implementation.
- Examples
- Uses Epetech’s deployment, pipeline-stage, automation, code-quality, and testing indicators as practical measurement examples.
- What you can do after
- Evaluate delivery performance and diagnose bottlenecks by combining DORA outcomes with leading engineering indicators.
"Looks Good to Me"
A software delivery performance measure covering deployment frequency, change lead time, time to restore service, or change failure rate.
- How it is used
- Uses four delivery measures to evaluate engineering performance, support code-review conversations, and identify process improvement opportunities.
- How deep it goes
- Defines four metrics, explains their organizational relevance, and classifies teams into four performance categories.
- Examples
- Uses metric tables comparing deployment frequency, change lead time, restoration time, and failure rate across performance levels.
- What you can do after
- Evaluate team performance by collecting and analyzing four delivery metrics, then use the results to guide improvement.
Architecture Modernization: Socio-technical alignment of software, strategy, and structure
DORA metrics are software delivery performance measures covering deployment frequency, lead time for changes, change failure rate, and time to restore service.
- How it is used
- Uses delivery performance measures to assess modernization progress, deployment capability, and operational reliability.
- How deep it goes
- Defines four delivery measures and positions them as indicators for assessing change speed and system reliability.
- Examples
- Uses deployment frequency, lead time for changes, change failure rate, and time to restore service as its measures.
- What you can do after
- Evaluate modernization progress through delivery speed, deployment frequency, change reliability, and service recovery.
Related concepts
- change failure ratehas part · Change failure rate is the proportion of deployed software changes that cause failures requiring remediation, rollback, recovery, or other corrective action.
- deployment frequencyhas part · Deployment frequency is the rate at which software changes are deployed to a target environment, such as production.
- lead timehas part · Lead time is the elapsed time from the initiation, request, or availability of work until its completion or delivery.
- mean time to resolutionhas part · Mean time to resolution is the average elapsed time from identifying or reporting an issue, failure, or incident until it is resolved or affected service is restored.
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