Overview
Direct Answer
Mean Time to Recovery (MTTR) is the average duration between the detection of a system failure and the restoration of full operational capacity. It measures the speed of incident response and remediation, excluding detection time, and is a key metric for assessing service reliability and operational efficiency.
How It Works
MTTR is calculated by summing the total downtime across all incidents within a period and dividing by the number of incidents. The duration begins when an alert is acknowledged and concludes when the system returns to normal service levels. Reduction typically involves automated incident response, runbook execution, infrastructure redundancy, and rapid diagnostic tooling.
Why It Matters
Lower recovery times directly reduce revenue loss, data corruption risk, and customer dissatisfaction during outages. Organisations use MTTR targets to drive investment in observability platforms, automation, and incident management practices. It is often contractually bound within service-level agreements (SLAs) and affects business continuity planning.
Common Applications
Cloud infrastructure providers use MTTR targets to differentiate service offerings. Database teams optimise failover mechanisms to meet recovery objectives. E-commerce and financial institutions prioritise MTTR reduction to minimise transaction loss. DevOps teams benchmark recovery performance across microservices architectures.
Key Considerations
MTTR excludes detection time and should be considered alongside Mean Time Between Failures (MTBF) for holistic reliability assessment. Aggressive MTTR targets may incentivise band-aid fixes over root-cause resolution, potentially increasing incident frequency.
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