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  • Scalability - by adding additional processes, support any required volume (subject to other limiting factors such as network).

  • Users User activity vs. back end processing  - a separation between the users user activity and the backend processes of data in order to maintain high quality of service. 

  • Multiple points of failure - all cluster nodes processes may function as perform alerting and processing nodes in cases of failures to avoid loss of data / loss of service.

  • Fast Disaster Recovery (DR) - XpoLog has automated procedures to maintain configuration backups that may be easily used to restore a system.

  • Fault tolerance - During a cluster node failure or following an entire cluster failure, XpoLog recovers immediately process or node failure XpoLog hands off tasks of the failed node / process to other available processes. XpoLog recovers quickly and accurately to complete undigested data, reports and monitors.

Single Machine Cluster

A basic cluster The simplest Basic Cluster of XpoLog runs at least 2 processes running on the same machine (commonly, this is suitable for small-mid environments as an initial clustered deployment).

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