With organizations increasingly adopting Container environments, it is necessary that all applications and storage must be available on these environments.

InfoScale provides high-performance shared storage for the OpenShift and Kubernetes clusters by using the fast storage, directly attached to the cluster nodes. InfoScale Storage provides highly available persistent storage that conforms to CSI specifications for enterprise applications by using high-performance parallel storage access on shared storage (SAN) or in Flexible Storage Sharing (FSS) environments. Multiple InfoScale clusters can be configured within a single OpenShift or Kubernetes cluster.

For OpenShift, you can download files from the Red Hat registry and deploy InfoScale. With an active Red Hat account, you can access the InfoScale images. Download from a single source with a single sign-on ensures a high level of security. An example of an OpenShift cluster is as under

Figure: OpenShift cluster comprising three master nodes, four worker nodes, and one bastion node. Storage can be SAN or DAS.

For Kubernetes, you can download files from the Arctera Download Center and deploy InfoScale. An example of a Kubernetes cluster is as under

Figure: Kubernetes cluster comprising three master and four worker nodes. Storage can be SAN or DAS.

Arctera InfoScale in Kubernetes environment also offers scalability support which is helpful in case the Container environment has large number of nodes. You can configure any number of InfoScale clusters within a single OpenShift or Kubernetes cluster. Each cluster can have upto 16 nodes. To configure multiple clusters, you must modify the configuration resource file and add information about the nodes you want to be included in that InfoScale cluster.

Figure: Multiple InfoScale clusters within a single OpenShift or Kubernetes cluster with Direct Attached Storage (DAS)

Multiple InfoScale clusters enable you to run containerized applications on a subset of nodes. Storage attached to all the nodes across the cluster can thus be consumed. However, InfoScale clusters cannot share storage with each other.

Figure: Multiple InfoScale clusters within a single OpenShift or Kubernetes cluster in a SAN environment