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What a production-readiness review should establish
A review should answer a practical question: can the team operate this workload safely under expected conditions and respond effectively when something goes wrong? That answer depends on both the system and the people and procedures supporting it.
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AWS describes its Operational Readiness Review (ORR) as a checklist-based way to validate that a workload can be operated safely. It recommends reviewing before general availability and reassessing periodically. AWS’s OPS 7 guidance extends the scope beyond technical configuration to trained personnel, security, restoration, monitoring, maintenance, operating procedures, and staffing (AWS ORR guidance; AWS OPS 7).
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A checklist provides a consistent way to ask questions, but it should not be copied unchanged across every service. Start with the workload’s architecture, dependencies, operating model, and consequences of failure, then adapt the review topics accordingly. AWS ORR guidance groups its examples around architecture, release quality, and event management; the ORR whitepaper expands the sample topics.
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Architecture and workload behavior
- Are dependencies understood, and can the service handle expected scaling, capacity limits, and overload?
- Can the team contain a failure’s blast radius and restart the service safely?
- Are security, data recovery, and restoration needs addressed?
Release quality and change safety
- How are changes tested and deployed, and what evidence shows those controls work?
- Can operators detect an unsuccessful change and roll it back?
- Are changes small and reversible where appropriate?
Event management and incident response
- Do metrics, logs, events, and traces give operators useful visibility into service health?
- Are alarms, dashboards, and paging arrangements adequate for detecting and escalating problems?
- Are runbooks available for routine operations and playbooks for resolving issues?
- Do procedures address forensics, escalation, and operator safety where relevant?
These are prompts, not a universal pass/fail list. Tailor them to the workload and document how a risk is handled when it cannot be eliminated. AWS’s ORR whitepaper provides additional sample categories and questions.
Check the people, processes, and governance
Technical safeguards are not enough if nobody is prepared to use them. AWS OPS 7 recommends checking workforce capability and readiness, with checklist topics that include governance, configuration standards, restoration, monitoring, maintenance, IT operations procedures, and staffing. Ask whether the team has the skills, coverage, access, and documented procedures needed to support the workload.
Google Cloud organizes operational readiness into four areas: workforce, processes, tooling, and governance. This is a useful complementary lens: it helps expose gaps that a system-focused checklist may miss, such as unclear ownership or operating practices that have not kept pace with a service (Google Cloud operational readiness).
Make each review finding inspectable
A checklist item is useful only when reviewers can see why it passes, what remains at risk, and who owns the next action. For each important criterion, record the evidence considered and any mitigation or follow-up required. Evidence may include configuration, test and deployment practices, monitoring signals, recovery procedures, and documented operating procedures.
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For example, “rollback is supported” is a claim; a review becomes more useful when it identifies the rollback procedure and the evidence that operators can detect a bad release and carry it out. Likewise, “monitoring is configured” should lead reviewers to the signals and alarms operators will actually use. AWS recommends designing for observability and understanding how unsuccessful changes will be handled (AWS operational excellence guidance).
Choose a review rhythm and keep it current
Conduct a readiness review before general availability, then revisit it periodically and when meaningful changes affect how the workload is operated. The checklist should evolve with architecture, procedures, staffing, and operational experience. Incident findings can reveal missing checks or ineffective mitigations; feed those lessons back into the review rather than treating the checklist as a fixed artifact.
Consistency does not require every check to be manual. Teams can automate suitable criteria in code or trigger checks in response to events, while reserving human review for context, trade-offs, and risks that need judgment. Automation can make repeatable checks easier to apply, but it does not replace evidence about whether people and procedures are ready.
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How AWS ORRs and Google SRE PRRs relate
AWS calls its approach an Operational Readiness Review and emphasizes checklist-based validation of a workload’s safe operation, including reviews before launch and periodic reassessment. Google SRE describes Production Readiness Reviews as a way to verify that a service meets production setup and operational-readiness standards and that its owners are prepared to work with SRE. Its stated objectives include improving reliability and minimizing the expected number and severity of incidents (Google SRE: Evolving SRE Engagement Model).
These are related practices, not one identical standard. Their shared value is a deliberate, evidence-based review; their organization and use depend on each team’s context.
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