Prompt

How do I track uptime history and incident reports for my team?

Technology / Observability1 observationLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

A good way to track uptime history and incident reports is to use two linked records:

  1. Uptime/SLA history — a running log of service availability over time
  2. Incident reports — detailed postmortems for anything that impacted availability

1) Track uptime history

Use a monitoring tool or a simple database/spreadsheet to record:

  • Service name
  • Start/end time
  • Status: up / degraded / down
  • Duration
  • Affected users/systems
  • Root cause (if known)
  • Detection source (monitor, user report, manual)
  • Resolution time
  • SLA impact or downtime minutes

Useful metrics

  • Uptime % = (total time - downtime) / total time × 100
  • MTTR (Mean Time to Recover) = average time to restore service
  • MTBF (Mean Time Between Failures) = average time between incidents

Best practices

  • Automate monitoring with alerts.
  • Keep timestamps in one timezone (UTC is easiest).
  • Segment by service, region, or environment.
  • Preserve historical records instead of overwriting.

2) Track incident reports

For each incident, document:

  • Incident ID
  • Title / summary
  • Severity
  • Date/time started and resolved
  • Impact
  • What happened
  • Root cause
  • Immediate fix
  • Long-term corrective actions
  • Owner
  • Status: open, investigating, resolved, postmortem complete

Incident report template

Incident ID:
Title:
Date/Time Detected:
Date/Time Started:
Date/Time Resolved:
Severity:
Services Affected:
Impact:
Detection Method:
Root Cause:
Timeline:
Resolution:
Preventive Actions:
Owner:
Links/Attachments:

3) Connect uptime history to incidents

A simple pattern is:

  • Every incident creates one or more downtime entries
  • Each downtime entry rolls up into your uptime history
  • At the end of the month/quarter, generate:
    • uptime by service
    • incident count by severity
    • total downtime
    • recurring root causes

4) Tools you can use

Depending on team size:

Lightweight

  • Google Sheets / Excel
  • Notion / Airtable
  • Jira + incident templates

Monitoring + incident management

  • Datadog, New Relic, Prometheus + Grafana
  • PagerDuty, Opsgenie, FireHydrant, Rootly
  • Statuspage for public-facing status history

5) Recommended workflow

  1. Monitoring detects an issue
  2. Alert triggers incident creation
  3. Incident is tracked live in a shared channel/ticket
  4. After resolution, write a postmortem
  5. Update uptime log with exact downtime
  6. Review trends monthly

If you want, I can give you:

  • a spreadsheet template,
  • a Notion/Jira incident template, or
  • a database schema for tracking uptime and incidents.

Observation history

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