What is MTTR?
MTTR is the average time it takes a team to recover from a failure, most often expanded as Mean Time to Recovery but also used for Repair, Resolve, or Respond.
MTTR, defined
MTTR is an incident metric that measures, on average, how long it takes to restore normal service after a failure. The acronym is overloaded: "R" can stand for Recovery, Repair, Resolve, or Respond, and each variant measures a different span of the incident timeline. Because the four meanings are easy to conflate, mature teams state explicitly which MTTR they report.
You calculate MTTR by summing the relevant durations across a set of incidents and dividing by the number of incidents. For Mean Time to Recovery that is total downtime divided by incident count. The number is only meaningful when paired with its sibling metrics — MTTD, MTTA, and MTBF — which describe the rest of the incident lifecycle.
The MTTR family of metrics
MTTR rarely travels alone. These related measures break the incident lifecycle into stages so you know whether you're slow to detect, slow to react, or slow to fix.
MTTD — Mean Time to Detect
The average time from when a failure begins to when your monitoring or a human first notices it. A high MTTD means problems run unseen, so it's the metric your alerting and uptime checks attack directly.
MTTA — Mean Time to Acknowledge
The average time from when an alert fires to when an on-call responder acknowledges it and begins work. It isolates the human-response lag from the technical repair time.
MTTR — Mean Time to Recovery / Repair
Mean Time to Recovery measures total downtime until service is restored; Mean Time to Repair measures only the hands-on fixing time. Recovery is the broader, customer-facing number.
MTTR — Mean Time to Resolve
Resolve extends beyond restoring service to include any follow-up work — cleanup, permanent fixes, and verification — so it is usually longer than Recovery.
MTBF — Mean Time Between Failures
The average uptime between one failure and the next. Where MTTR measures how fast you recover, MTBF measures how rarely you break — together they describe reliability.
How it's calculated
Sum the chosen durations across all qualifying incidents in a window, then divide by the incident count. Watch for skew: one marathon outage can dominate the mean, so teams often report the median alongside it.
Why MTTR matters
MTTR is one of the clearest signals of operational maturity. Reducing it shrinks the customer impact of every incident, which is why it sits at the center of SRE and DevOps reporting — the DORA research program tracks it as a key delivery-performance metric. Improving MTTR usually comes from better detection, faster paging, clearer runbooks, and safe, quick rollbacks rather than heroics.
Treat MTTR as a trend, not a single judgment. Break it into MTTD, MTTA, and the repair span so you can see which stage to attack. A team with great alerting but slow rollbacks has a very different problem than one that simply never notices outages.
MTTR with AllStak
AllStak shortens the early stages of MTTR by catching failures as they happen. Uptime monitoring and error tracking surface problems quickly, and notification rules route them to the right people so acknowledgement isn't delayed by a noisy inbox.
During an incident, AllStak's incident timeline keeps detection, response, and resolution events in one place, so the durations you need to compute MTTR are already recorded instead of reconstructed afterward from memory.
MTTR FAQ
What does MTTR stand for?
MTTR most often stands for Mean Time to Recovery, but it's also used for Mean Time to Repair, Resolve, or Respond. Each measures a different part of the incident timeline, so it's important to state which one you mean.
How is MTTR calculated?
Add up the relevant durations across all incidents in a time window, then divide by the number of incidents. For Mean Time to Recovery, that's total downtime divided by incident count.
What's the difference between MTTR and MTBF?
MTTR measures how quickly you recover from a failure; MTBF (Mean Time Between Failures) measures how long the system runs between failures. One is about speed of repair, the other about frequency of breakage.
What is a good MTTR?
There's no universal number — it depends on the service, its criticality, and your SLOs. What matters more is the trend: a steadily falling MTTR shows your detection, response, and recovery are improving.
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