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10 hosts, each having 50% availability. But if they are used in parallel and fail independently, they can provide high availability. So for example if each of your hosts has only 50% availability, by using 10 of hosts in parallel, you can achieve 99.9023% availability. Note that redundancy doesn’t always lead to higher availability.
Uptime is a measure of system reliability, expressed as the period of time a machine, typically a computer, has been continuously working and available. Uptime is the opposite of downtime . Htop adds an exclamation mark when uptime is longer than 100 days.
10 hosts, each having 50% availability. But if they are used in parallel and fail independently, they can provide high availability. So for example if each of your components has only 50% availability, by using 10 of components in parallel, you can achieve 99.9023% availability. Two kinds of redundancy are passive redundancy and active redundancy.
Five nines, commonly taken to mean "99.999%", may refer to: High availability of services, when a service is available for 99.999% of the time, or around 5 minutes of downtime per year; Nine (purity), a 99.999% pure substance; German 15 cm (5.9 in) artillery shells used in World War I
Availability is the probability that an item will be in an operable and committable state at the start of a mission when the mission is called for at a random time, and is generally defined as uptime divided by total time (uptime plus downtime).
Continuous availability is an approach to computer system and application design that protects users against downtime, whatever the cause and ensures that users remain connected to their documents, data files and business applications.
Website monitoring can be done from both inside and outside of a corporate firewall.Traditional network management solutions focus on inside the firewall monitoring, whereas external performance monitoring will test and monitor performance issues across the Internet backbone and in some cases all the way to the end-user.
The failure rate of a six sigma distribution with the mean shifted 1.5 sigma is not equivalent to the failure rate of a 4.5 sigma process with the mean-centered on zero. [9] This allows for the fact that special causes may result in a deterioration in process performance over time and is designed to prevent underestimation of the defect levels ...