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Mean time to resolution

As explained in Automating API Delivery

Mean time to restore is the average time required to recover a failed service or system to working condition.

Mean time to resolution (MTTR) measures the average time required to restore a failed API service or system to working condition. In an APIOps workflow, continuous reconciliation of API configuration helps reduce MTTR by making rollback to a previously working version straightforward. section 1.7

Use the deployment workflow to improve recovery performance:

  • Store API configuration in Git and route changes through pull-request approval and an API CI/CD pipeline. section 1.7
  • Let deployment agents continuously reconcile the running API configuration with the approved version. section 1.7
  • When a configuration failure occurs, use git revert to return to a previously working version. section 1.7
Figure 1.9 In APIOps, you automate API governance as much as possible to deliver better compliance and reduced lead times.
figure

Use the APIOps governance diagram to relate automated compliance and deployment workflows to reduced recovery effort and lead times. section 1.7

How Automating API Delivery covers it

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 it assumes
Assumes familiarity with API configuration, Git pull requests, CI/CD pipelines, and deployment agents.
What you can do after
Operate recovery workflows that restore failed API configurations by reverting approved Git changes.
How it connects
Connects MTTR with APIOps, API governance, Git-based deployment, CI/CD, continuous reconciliation, and rollback.

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This explainer was generated by Manning's knowledge graph from the text of Automating API Delivery. The section links point to the parts of the book it draws on.