Data sharing clusters are server farms that share storage devices on a storage area network (SAN)
and share data on those storage devices. In a data sharing cluster, data can be written or read by
any server to or from any file on a common shared storage device. Parallels Server Bare Metal
allows you to deploy data sharing clusters in your working environment by combining the
functionality provided by a shared file system with that of Red Hat Cluster Suite. By implementing a
data sharing cluster made up of Parallels servers, you can gain the following benefits:
• Simplify the process of managing virtual machines and Containers because all virtual machines
and Containers reside on a single SAN storage shared by all servers in the cluster.
• Speed up the process of migrating running virtual machines and Containers between the
cluster nodes. In fact, the migration is almost imperceptible to users because all virtual machine
and Container data in the cluster is stored on a shared SAN storage and there is no need to
move this data between the nodes during the migration.
• Provide failover support for Parallels Server Bare Metal vital services, virtual machines, and
Containers. Each server in the cluster is running the clustering software that is responsible for
monitoring the health of Parallels Server Bare Metal installations and that fails over the services
and virtual machines and Containers from the failed node to a healthy one.
The following sections provide detailed information on deploying data sharing clusters in your
network environment.
In This Chapter
Cluster Configuration Options ................................................................................. 19
Configuring Shared Storages for Data Sharing Clusters ........................................... 19
Creating and Configuring a Data Sharing Cluster ..................................................... 24
C HAPTER 4
Deploying a Data Sharing Cluster
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