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Cluster Management is the management model that supports management decentralization, builds leadership potential, and generates ownership of the unit-based goals.
A managed Cluster is defined as the cluster-scope API in the hub cluster depicting the pending-for-acceptance or registered Kubernetes clusters in the OCM.
Cluster Management Software optimizes the work that the Cluster of computers can do. A cluster manager equals workload for reducing the blockages and monitoring the health of cluster elements.
Projects that handle massive datasets use Kubernetes for data pipeline management and workload scaling. Kubernetes is gaining a grip on HPC(High-performance computing), which holds data clusters, facilitates data-intensive workloads, and supports resource sharing.
Docker images and containers are entirely portable. We can develop locally, deploy to the cloud, and run anywhere. This enables a “build once, run anywhere” workflow, which is helpful for DevOps.
