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What is Mean Time Between Failures (MTBF)?

Blog post from testRigor

Post Details
Company
Date Published
Author
Hari Mahesh
Word Count
2,448
Language
English
Hacker News Points
-
Summary

Mean Time Between Failures (MTBF) is a widely used but often misunderstood metric that appears in various reliability reports and engineering contexts. It represents the average time a repairable system operates between failures, rather than a promise of uninterrupted performance. MTBF requires a clear definition of "failure" to be meaningful and should be interpreted as an average over a population and time, rather than a prediction for any specific instance. While MTBF is helpful for comparing reliability patterns and tracking improvements, it should not replace real availability and incident data. It often complements other metrics like Mean Time To Repair (MTTR) and Service Level Objectives (SLOs), offering insights into failure frequency and recovery efforts. Improving MTBF involves reducing actual failures through robust testing, safer change practices, and building resilience into systems. Despite its utility, MTBF alone does not capture the full picture of system reliability, as it can obscure trends and severity of failures, highlighting the need to consider it alongside other reliability indicators for a comprehensive understanding.