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Solutions/Functions/Software engineering/DevOps and cloud/Site reliability

AI workflows for site reliability.

Setting service level targets, spending the error budget wisely and rehearsing failure so services stay up.

Who does this work

  • Site reliability engineer
  • Platform engineer
  • Infrastructure lead

Updated 12 November 2026

Request this workflowBook a fit call
Examples of the workflows identified
  1. Define service level targetsIllustrative
  2. Plan a resilience exerciseIllustrative
  3. Review the service error budgetIllustrative
  4. Write a service runbookIllustrative

The workflows identified

Marked illustrative: an example of the work, identified, with no workflow template yet.

Define service level targetsA service-level proposal with measures, windows and response rules.Illustrative · not built yet
Plan a resilience exerciseA bounded failure-test plan with expected behavior, abort conditions and what to observe.Illustrative · not built yet
Review the service error budgetA summary of a service's reliability indicator against its target and window, with budget use, calculations and data gaps.Illustrative · not built yet
Write a service runbookA runbook with prerequisites, steps, expected results and rollback for the next responder.Illustrative · not built yet

Workflow templates

There is no workflow template for site reliability yet: request one below and we build it with you.

Request this workflow

Tell us the site reliability work you need and the team that does it, and we build the workflow with you from your own procedures.

Request this workflowStart your plan

Related reading

  • ArticleA workflow, an automation tool or an agent: what this piece of work needsAn automation tool moves data, an agent acts alone, a workflow carries your team’s judgment. One signed contract three ways, and five questions to choose.Read
  • ArticleWhat happens on a fit call, and what you leave withA 30-minute fit call is the first working session in your plan: your teams laid out, their repeated work marked, a named next step. No card needed.Read
  • ArticleYour current AI platform, specialist software or a built workflow: how to chooseCompare three routes for one client-status update: your AI platform as it comes, specialist software or a built workflow. Criteria and a checklist.Read
  • ArticleA plan before agents: decide what each team should do with AI firstPlan by team before you buy or build agents: about five workflows for each team, the work between teams, the roles that do it, one owner each and what to build first.Read

Where to go next

All of DevOps and cloudThe broader area this belongs to, with its workflows.All of software engineeringEvery area of the function, with workflow templates and examples.Map your team in the PlannerPut this work in your plan, with the roles that do it.

Also within DevOps and cloud

  • Release management

Other areas of software engineering

  • AI and machine learning
  • Software development
  • Testing and QA
  • Web and mobile development
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