Mean Time to Detect: How Quickly Will You Know an Integration Failed?

Mean time to detect (MTTD) measures the average interval between the start of an integration failure and a clearly defined detection event, helping engineering and DevOps teams assess whether monitoring identifies problems before customers do. It differs from mean time to recovery (MTTR), which measures restoration after detection, and from acknowledgment, which measures human response after an alert. Reliable MTTD measurement requires consistent definitions of failure start, such as a failed execution, reliability-threshold breach, or missed scheduled run, and detection, such as an automated signal, actionable alert, team awareness, or customer report. Teams should record relevant incident timestamps, segment results by failure type, integration, customer, severity, detection source, and time period, and report means, medians, and upper percentiles to identify weak monitoring coverage and long customer exposure. Prismatic can supply alert monitors, delivery data, execution histories, logs, and integration context to support measurement, but each organization must define its metric rules, reporting scope, and targets based on risk, customer impact, and service-level commitments.

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