What Is Mttr? Definition, Formula & Benchmarks (2026)

MTTR, or Mean Time to Recovery, is a critical metric used to gauge the efficiency of a system's recovery process following disruptions, playing a vital role in measuring delivery performance and reliability within engineering teams. According to the Splunk and Cisco’s Hidden Costs of Downtime 2026 report, unplanned downtime costs organizations an average of $15,000 per minute, with the aggregate annual cost for Global 2000 companies reaching $600 billion. MTTR is part of the five DORA metrics and helps distinguish resilient teams that can systematically and quickly respond to failures from those that struggle with prolonged incidents. While MTTR originally focused on physical equipment repair, its application in software engineering now emphasizes system recovery from failures due to bad deployments, dependency outages, or infrastructure issues. MTTR incorporates detection, diagnosis, fix, deployment, and verification times, and its reduction often involves improving observability, testing pipelines, and automated rollback processes. The 2023 DORA report refined MTTR's definition to Failed Deployment Recovery Time (FDRT), focusing on recovery after software changes. Teams achieving elite performance in MTTR, recovering in under an hour, typically invest in observability, automated rollback, and incident runbooks, with the DORA benchmarks suggesting that faster detection and diagnosis are key to significant improvements.

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