Mean time to resolution
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.
Data-Driven Cybersecurity
The average elapsed time required to resolve security incidents.
- How it is used
- Supports executive decisions by showing how long security incidents take to resolve alongside risk, incident, and financial metrics.
- How deep it goes
- Defines MTTR as an average and resolution time as detection through recovery; illustrates dashboard comparisons without a calculation walkthrough.
- Examples
- Shows a two-day phishing MTTR in an executive dashboard and category-level bar-chart comparisons.
- What you can do after
- Evaluate/understand MTTR in an executive dashboard and distinguish full resolution time from response time before reporting improvement.
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Effective Platform Engineering
Mean time to recover is the average elapsed time from failure detection until service or functionality is restored.
- How it is used
- Uses MTTR to evaluate platform resilience, incident response, service availability, and customer impact.
- How deep it goes
- Defines MTTR as detection plus resolution time and connects it to monitoring, alerting, environments, and remediation, without prescribing calculations.
- Examples
- Uses Epetech’s MTTR tracking, incident detection and acknowledgement metrics, rollback ratios, and Correction of Error documents.
- What you can do after
- Evaluate operational efficiency and identify monitoring, alerting, resilience, or remediation improvements.
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Think Like a Software Engineering Manager
The average time required to resolve a reported service problem or customer issue.
- How it is used
- Guides engineering managers in evaluating production stability, operational support, customer-service expectations, and improvement priorities.
- How deep it goes
- Defines recovery time, contrasts related incident metrics, and recommends supporting practices, but does not provide a calculation procedure.
- Examples
- Uses production failures, failed deployments, customer problems, incident alerts, run books, and monitoring dashboards as concrete contexts.
- What you can do after
- Diagnose/debug with it by identifying slow recovery, improving incident support, and reviewing trends alongside quality and value.
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Platform Engineering on Kubernetes
Time to restore service is the elapsed time required to recover from a production problem and return a service to normal operation.
- How it is used
- Tracks how quickly teams recover from production problems as one of four software-delivery DORA metrics.
- How deep it goes
- Defines elapsed recovery time and places it among recovery indicators, but gives no metric-specific calculation formula.
- Examples
- Illustrates recovery metrics with a data-source architecture and a pipeline for collecting, transforming, calculating, storing, and exposing metrics.
- What you can do after
- Apply it by collecting event data, standardizing inputs, calculating metrics, and storing results for sharing through a dashboard.
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Automating API Delivery
Mean time to restore is the average time required to recover a failed service or system to working condition.
- How it is used
- Uses MTTR to assess how API operations recover failed configurations through automated deployment and reconciliation.
- How deep it goes
- Explains the recovery mechanism through reconciliation and git revert, but does not define a calculation or measurement procedure.
- Examples
- Uses a failed API configuration and a git revert to a previously working version as the recovery example.
- What you can do after
- Operate recovery workflows that restore failed API configurations by reverting approved Git changes.
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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.
- service-level agreementconfigured by · A service-level agreement is a formal agreement or commitment that specifies measurable service expectations, responsibilities, and related terms between parties.
- customer satisfactionmeasures · Customer satisfaction is a measure of how favorably customers or users evaluate a product, service, interaction, or outcome in relation to their needs and expectations.
- metrickind of · A metric is a quantitative measure used to characterize or assess a property, condition, behavior, performance, or outcome.
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