What is required for measured availability?

Measured availability refers to the actual performance of a system in terms of being operational when needed, which is quantitatively determined through the evaluation of real-world data. This requires a systematic measurement process that captures the occurrences of failures along with the actions taken to restore the system to an operational state. By analyzing this data, organizations can assess how often the system is available versus how often it is not, allowing them to calculate metrics such as uptime and downtime.

This systematic approach includes not only tracking failures but also documenting restoration actions to understand the system's downtime and recovery times more accurately. The use of historical data and performance metrics enables organizations to make informed decisions on system improvements and to enhance overall availability.

Other options do not relate directly to the rigorous data collection and analysis process required for measured availability. A theoretical approach to failures may inform understanding but does not provide the empirical data necessary for measured availability. Estimating supplier reliability can support decisions about component selection, but it does not provide a direct measure of actual system availability. Meanwhile, conducting regular user satisfaction surveys might provide insights into user experience but does not yield direct metrics on the operational availability of the system itself.