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How to Calculate Uptime Ratio?

Posted: Tue Jan 07, 2025 5:41 am
by bartubjot@neko2.net
The accessibility of a site is related to the time the server where the hosting service is provided is running. The higher this period, which is stated as uptime, the more uninterrupted the site access will be. In case of a planned outage such as maintenance, informing visitors in advance is important to ensure trust. It will give the impression that everything is under control. Therefore, communication with customer service is as important as low outage in choosing hosting. If the hosting company has an advanced customer service, it will inform you before the outage. In unplanned cases, it will provide information about the solution to the problem.

Natro hosting services, one of the best examples of this trust lithuania telegram number relationship, provide services with 99.9% uptime. Thanks to the customer service that can be reached at any time, it ensures that there is no trust problem between you and your users in case of any problem.

Uptime indicates the working time period. When the reference value is unknown, uptime can be meaningless. For example, if uptime is 7 days, it is important whether it is 7 days in a week or a month. In order to avoid this confusion, uptime rate is used as a criterion. Uptime rate is found by dividing the maximum potential usage time of the server by the current or estimated usage time. For example; while the potential maximum time is taken as 8760 hours in annual calculations, it is taken as 720 hours in monthly calculations. The current usage time cannot exceed the potential. In other words, the maximum value that the uptime rate can reach is 100.

On the other hand, it is almost impossible to have 100% uptime. Even if this is possible for a certain period, such as a week or a month, the sustainability of this rate depends on its being a criterion. In order to break the effect of short-term trends, calculations are made on a yearly basis. For example, when calculating the annual downtime of a server, let's assume that our predictions are as follows:

Annual maintenance time: 7 hours
Other possible situations (power outage, disaster, etc.): 3 hours