Mean time between IT failures

 The mean time between failures (MTBF) is used to measure the average number of days between failures or interruptions in the network, system or application. The moment when the network, system or application fails initially is considered the first measured date, while the day when the next failure occurs is considered the last measured date. The average time between failures includes the time needed to perform any repairs after the initial failure.


For this KPI, the longer the time between failures, the better. If a system fails every week, company employees will not be able to efficiently complete their work. Be aware that the MTBF value includes only uptime, not repair or downtime.

To reduce the average time between failures, try to segment the time between failures using different systems and software packages. This allows IT managers and employees to identify the specific network, system or application that is causing the problem.

IT Service Technicians offer operational support to the system as well as assisting employees in an organization in matters related to IT.

Low values ​​for this example of an IT KPI can be indicative of:


poorly developed networks, systems or applications;

below average IT staff repairs;

inefficient testing of the network, system or application before releases.

In summary, tracking metrics should be at the top of the technology manager's task list. In addition to serving as a guide for optimizing internal processes, the use of IT performance indicators to improve the department's operations will even help outperform competitors and improve company results.

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