Mean time between failures
Excellent114 days
8,208 operating hours divided by 3 failures.
Reliability planning calculator
An MTBF calculator estimates mean time between failures by dividing total operating hours by observed failures. Use this free tool to calculate MTBF, failure rate, availability, target gap, and expected failures for a reliability planning window.
Use one consistent measurement window and failure definition.
MTBF reliability summary
114 days
8,208 operating hours divided by 3 failures.
99.927%
6 repair hours using MTBF and MTTR inputs.
0.365 / 1K hours
Failures normalized per 1,000 operating hours so different fleets can be compared.
9 failures
Based on 24,624 forecast operating hours.
API worker fleet MTBF Summary Measurement window: 30 days Operating hours: 8,208 MTBF: 114 days Availability estimate: 99.927% Failure rate: 0.365 failures per 1,000 operating hours Target gap: 173.6% 90-day expected failures: 9 Recommended next actions - Keep the current reliability controls visible and review the next failure for repeat causes. - Plan maintenance, spare capacity, or follow-up work for the forecasted failure volume. - Compare this result with incident tags, component age, release timing, and workload changes. Note: MTBF is most useful when the operating-hour window, failure definition, and repair-time definition stay consistent.
MTBF is useful when the measurement window and failure definition stay consistent. Use operating hours instead of calendar time when fleets have multiple assets, partial utilization, or maintenance windows.
Treat MTBF as a planning signal, not a root cause. Pair it with incident categories, component age, release timing, repair time, and customer impact before deciding where to invest.
An MTBF calculator divides total operating hours by the number of failures to estimate mean time between failures for a system, fleet, or component.
MTBF equals total operating hours divided by failures. For a fleet, multiply asset count by operating days and hours per day, then divide by the observed failure count.
MTBF measures expected time between failures. MTTR measures mean time to repair or restore service after a failure happens.
MTBF can forecast expected failure volume when failure behavior is stable, but it should be paired with incident analysis, age, workload, and maintenance context.
A good MTBF depends on the asset and service target. Compare MTBF against your reliability target, customer impact, repair time, and availability requirement.
Score delivery health with deployment, lead time, change failure, and restore metrics.
Turn recurring failures into a blameless corrective action plan.
Create release checks that catch reliability regressions before deploy.
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