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The terms high availability, continuous operation, and continuous availability are generally used to express how available a system is. [3] [4] The following is a definition of each of these terms. High availability refers to the ability to avoid unplanned outages by eliminating single points of failure. This is a measure of the reliability of ...
There is no delay in the timeliness of the information provided. Real-time data is often used for navigation or tracking. [1] Such data is usually processed using real-time computing although it can also be stored for later or off-line data analysis. Real-time data is not the same as dynamic data. Real-time data can be dynamic (e.g. a variable ...
In computer networking, a reliable protocol is a communication protocol that notifies the sender whether or not the delivery of data to intended recipients was successful. . Reliability is a synonym for assurance, which is the term used by the ITU and ATM Forum, and leads to fault-tolerant messag
Continuous delivery Producing software in short cycles with high speed and frequency so that reliable software can be released at any time, with a simple and repeatable deployment process when deciding to deploy. Continuous deployment Automatic rollout of new software functionality.
Lead Time vs Turnaround Time: Lead Time is the amount of time, defined by the supplier or service provider, that is required to meet a customer request or demand. [5] Lead-time is basically the time gap between the order placed by the customer and the time when the customer get the final delivery, on the other hand the Turnaround Time is in order to get a job done and deliver the output, once ...
Availability, achieved (Aa) [6] The probability that an item will operate satisfactorily at a given point in time when used under stated conditions in an ideal support environment (i.e., that personnel, tools, spares, etc. are instantaneously available). It excludes logistics time and waiting or administrative downtime.
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Data quality – data access is controlled through data services, which tends to improve data quality, as there is a single point for updates. Once those services are tested, only regression testing is needed, if they remain unchanged for the next deployment.