What is System Uptime?
Share of time a system is available.
How to calculate it
Calculate System Uptime as: Uptime / Total time × 100. Pull the inputs from your connected data and track the trend over time in your dashboard.
Examples
Example 1
43,200 minutes available, 43 down -> 99.9% uptime ('three nines').
Example 2
Of 43,200 available minutes in a month, 43 are down -> 99.9% uptime, meeting a three-nines SLA with little margin to spare.
Why it matters
System uptime is the share of time a system is available and is a core reliability and SLA metric. It directly affects customer trust and, in many contracts, financial penalties. Counting partial outages as full uptime overstates reliability and hides degraded experiences.
Benchmark context
99.9% ('three nines') is common, allowing about 8.8 hours of downtime a year; mission-critical systems target 99.99% or higher.
Common pitfalls
Counting partial outages as full uptime.
The complete guide
Understanding System Uptime
System uptime is the share of time a system is available and is a core reliability and SLA metric. It directly affects customer trust and, in many contracts, financial penalties. Counting partial outages as full uptime overstates reliability and hides degraded experiences. For context, 99.9% ('three nines') is common, allowing about 8.8 hours of downtime a year; mission-critical systems target 99.99% or higher. Treat an external benchmark as a reference point rather than a universal target: company stage, sector, customer mix, pricing model and measurement definitions can materially change what “good” looks like. Read System Uptime alongside MTTR and SLA Compliance; together these measures provide a more balanced view and reduce the risk of optimizing one number at the expense of the wider outcome.
Make sure the numerator and denominator cover compatible populations and periods, and avoid dividing by a partial or unusually small base. Use stable production boundaries and timestamp definitions, and distinguish planned work from incidents, rollbacks and failed deployments. Measure at service or team level and keep the start event, end event and production boundary stable; portfolio averages can hide a fragile component. A dashboard should show the current value, prior-period comparison and a trend rather than presenting one isolated reading.
Treat the metric as a prompt for system improvement: reduce batch size, automate safe delivery, strengthen observability, rehearse recovery and use blameless reviews to eliminate recurring failure modes. Common pitfalls: counting partial outages as full uptime. Record the definition beside the dashboard, review it when systems or processes change, and annotate unusual events so future readers can distinguish a genuine performance shift from a data or timing effect.
Sources and further reading
- How to choose incident management KPIs and metrics
Atlassian Accessed
- Common incident management metrics
Atlassian Accessed
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