Métricas DORA

Os quatro sinais definidos pelo DevOps Research & Assessment, mais as métricas de incidentes ao lado deles. Velocidade e estabilidade do seu pipeline de entrega.

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Deployment frequency

Successful production deployments in a given period — daily, weekly, or on-demand.

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Change failure rate

Share of deployments that trigger a hotfix, rollback, or incident response.

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Lead time for changes

Time from first commit to production. Elite teams ship in under one hour.

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Mean time to recovery

Total downtime ÷ number of incidents. Lower is better; under an hour is elite.

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Mean time to detect

Gap between failure start and detection. An observability signal, not a recovery one.

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Mean time between failures

Average healthy interval between consecutive incidents on a service.

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Mean time to acknowledge

Time between alert fire and a human on-call accepting the page.

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Incident response time

End-to-end time from page acknowledgement to resolution path picked.

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Accelerate metrics

The original four-metric framework introduced in the Accelerate research.

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Software delivery metrics

Umbrella term for the throughput + stability metrics across the SDLC.

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Change lead time

Alternate name for lead time for changes used in some incident frameworks.

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Release cadence

The planned rhythm at which your team commits to ship to users.

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Time to restore service

Synonym for MTTR — total time to return service to a healthy state.

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Reliability metric

Generic family that includes MTBF, MTTR, error budget, and SLO burn.

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Deployment success rate

Inverse of change failure rate, measured at the pipeline stage.

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Rollback rate

Percentage of deployments that get reverted within a defined window.

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Deployment cadence

How regularly successful production deployments occur over time.

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Métricas de Engenharia

Throughput, flow, cycle time e os padrões dentro do ciclo de vida do pull request. O sinal do dia a dia de como o trabalho avança.

Cycle time

Active work start to delivery. Often confused with lead time — measures different spans.

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Burndown chart

Remaining sprint work plotted against time. Surfaces commitment vs. velocity gaps.

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Cumulative flow diagram

Stacked area showing WIP across pipeline stages. Reveals bottlenecks visually.

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Sprint velocity

Story points (or count) a squad ships per sprint, used for forward planning.

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WIP limits

Caps on how many items can sit in a given stage at once. Forces flow.

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Flow metrics

Family covering velocity, cycle time, WIP, and aging — the Kanban-flow set.

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Engineering productivity

Composite signal for how much value engineering delivers per unit of effort.

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Development cycle time

Subset of cycle time covering the active coding + review stages only.

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Flow efficiency

Active time ÷ total elapsed time across a PR or ticket lifecycle.

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Code churn

Lines changed shortly after being written. A signal of rework or churn pressure.

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Scope creep

Tickets or work added mid-sprint that were not in the original commitment.

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Escaped defects

Bugs that reach production. A trailing indicator of testing and review rigor.

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PR cycle time

Time from PR open to merge. The clearest single signal of review health.

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Code review metrics

Review wait, review time, reviewer distribution — collaboration signals.

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Coding time

First commit to PR ready-for-review. Stage 1 of the PR cycle.

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Velocity metric

Generic shipping rate signal — story points, PRs, or features per sprint.

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Deploy time

Final stage of PR cycle — merge to production deploy completing.

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Software engineering productivity

O que significa produtividade em engenharia de software, como medir sem métricas de vaidade e como melhorar a entrega…

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PR review time

Saiba o que é PR review time, como medir, os benchmarks e como reduzir a espera que desacelera os seus pull requests.

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Software cycle time

Alternate phrasing of PR cycle time used in some delivery frameworks.

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Sprint burndown

Burndown specialised to a single sprint cycle. Shows commitment risk early.

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Context switching

Frequency a player jumps between concurrent issues, repos, or contexts.

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PR size

Lines of code changed per pull request. The strongest predictor of review time.

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Rework rate

Share of code modified again within a short window of being merged.

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Unplanned work

Effort spent on items that did not exist at sprint planning. KTLO territory.

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Commit frequency

Rate of commits per player per day or week. A raw activity signal.

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Throughput metric

PRs, issues, or features completed in a period. Companion to cycle time.

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Team throughput

Throughput aggregated at the squad level over weekly / monthly windows.

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Delivery cadence

How consistently the squad ships work — variance matters as much as mean.

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Sprint predictability

How close planned vs. delivered scope tracks across recent sprints.

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Planning accuracy

Delivered work ÷ committed work. A trust signal with product partners.

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Carryover work

Items committed in one sprint but completed in a later one.

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Sprint completion rate

Entenda o sprint completion rate, como medir, os benchmarks e como entregar mais do que o seu squad se compromete a f…

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Merge time

O que é merge time, como medir, os benchmarks e como reduzir a espera entre a aprovação e o merge de um pull request.

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Review turnaround time

Saiba o que é review turnaround time, como medir, os benchmarks e como acelerar a primeira resposta nos pull requests.

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