High-availability cluster. Apache Mesos, from the Apache Software Foundation; Kubernetes, founded by Google Inc, from the Cloud Native Computing Foundation; Heartbeat, from Linux-HA; Proxmox; Docker Swarm; Red Hat cluster suite; OpenShift and OKD, from Red Hat; Nomad, from HashiCorp; Rancher, from Rancher Labs; TrinityX from ClusterVision Solutions

The following tables compare general and technical information for notable computer cluster software. This software can be grossly separated in four categories: Job scheduler, nodes management, nodes installation and integrated stack (all the above).

High availability cluster software manages servers that are grouped together to provide continuous availability, eliminating a single point of failure. This configuration of shared resources is referred to as high availability clusters (HA Clusters) or failover clusters.

Bright Cluster Manager empowers users to install entire Linux clusters directly onto bare-metal infrastructure and ensures their reliable management, from the edge to the core to the cloud.

High-availability clusters (also known as HA clusters , failover clusters or Metroclusters Active/Active ) are groups of computers that support server applications that can be reliably utilised with a minimum amount of down-time.

The ClusterLabs community provides a collection of free and open-source software projects related to high-availability clustering, including Corosync and Pacemaker. A high-availability cluster coordinates the start-up, monitoring, and recovery of services across a set of host machines, to minimize downtime while preserving data integrity.

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Rocks is an open-source Linux cluster distribution that enables end users to easily build computational clusters, grid endpoints and visualization tiled-display walls. Hundreds of researchers from around the world have used Rocks to deploy their own cluster (see the Rocks Cluster Register).

Aspen Cluster HPC Management software is compatible with most Linux distributions and is supported for the life of the cluster.

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