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Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Keep incident records as durable, searchable learning artifacts—not just reports filed when an outage ends. A useful record captures user impact, the event timeline, mitigation and resolution, causes and contributing conditions, and owned follow-up work. Store it where other teams can find it, connect its action items to the normal work-tracking system, and review incident history for patterns.
What an incident record should preserve
A post-incident record should let someone who was not on the response understand what happened, how it affected users, what the team did, and what should change. Google’s postmortem guidance treats the document as an organizational learning tool rather than merely a closure report.
- Impact: Which users or services were affected, and how?
- Timeline: When the incident began, was detected, escalated, mitigated, and resolved.
- Mitigation and resolution: What restored service, and what permanently addressed the failure, if different.
- Causes and contributing conditions: The technical and process factors that allowed the incident to occur or persist.
- Follow-up: Specific actions, owners, priorities, and completion criteria.
Preserve a concise, reviewed summary alongside links to authoritative source material such as timelines, logs, and response records. Google describes summarizing lengthy material while retaining links to unedited sources; this gives later readers a useful account without severing it from its evidence.
Publish promptly and make records discoverable
Write and publish the record while participants can still recall important details. Then share reviewed records broadly enough that teams beyond the immediate responders can learn from them. A private document known only to the original incident team is difficult to use as organizational memory.
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At scale, put records in a maintained repository and give them consistent metadata. Google describes collecting and parsing postmortem metadata so records can be searched, analyzed, and reported on. Useful starting fields include affected services, services associated with the cause, severity, and detection mechanism. Adapt the names and detail to your own service topology; these are implementation suggestions, not a universal schema prescribed by Google.
Design metadata around real retrieval questions
Consider whether engineers can find incidents by service, failure mode, severity, date, or action status. Consistent fields make cross-incident queries practical, but they should complement—not replace—the narrative needed to understand an individual event. Keep field definitions stable enough that different teams classify similar incidents consistently.
Make follow-up work survive publication
An incident record creates little operational change if its actions are not prioritized and completed. Google’s incident management guidance recommends tracking follow-up through established work systems. Its workbook describes filing action items as bugs in a centralized tracker and feeding agreed completion objectives into the team backlog.
Give each action an owner, priority, and testable outcome. “Improve alerting” is too vague to establish when work is done; a useful action states what observable alerting capability will change and how completion will be verified. Connect each item to the incident record so future reviewers can check whether the proposed fix shipped and whether it addressed the underlying condition.
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Google VP for 24/7 Operations Ben Treynor Sloss puts the connection between documentation and action plainly: “To our users, a postmortem without subsequent action is indistinguishable from no postmortem. Therefore, all postmortems which follow a user-affecting outage must have at least one P[01] bug associated with them. I personally review exceptions. There are very few exceptions.” This describes Google’s practice, not a universal requirement for every organization.
Use incident history to spot patterns
A collection of structured records can support analysis across incidents: recurring causes, frequently affected systems, detection mechanisms, incident duration, and the status of follow-up work. Trend reports can help direct engineering attention, while the underlying records retain the context needed to interpret a pattern.
When a similar incident happens again, check whether earlier actions were completed, whether the changes actually addressed the relevant conditions, and whether the recurrence signals a wider service-health problem. Treat this as a learning loop, not a reason to assume that a closed ticket alone prevented recurrence.
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The cited SRE guidance describes practices, not a mandated database design or a comparison of commercial products. When building or choosing an incident-history system, evaluate how well it supports these jobs:
- Findability: Can engineers filter by service, failure mode, severity, date, and follow-up status?
- Evidence retention: Can a short, reviewed account link to the authoritative timeline and supporting artifacts?
- Follow-up integration: Can owners and action status connect to the issue tracker and team backlog already in use?
- Cross-team learning: Can relevant teams discover and read records without unnecessary access barriers?
- Analysis and context: Can structured fields support trend reporting while preserving the incident-specific detail readers need?
These are practical design criteria inferred from the repository, metadata, sharing, and tracking practices described by Google—not a product ranking or a prescribed architecture.
Retention and governance depend on your context
Google’s guidance does not set a universal retention period, database schema, access-control model, or legal schedule. Decide how long to keep records and linked evidence based on operational needs and applicable obligations. Preserve the links and permissions needed for authorized future readers to interpret the record, while applying your organization’s policies to sensitive logs, chat, and user data.
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