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Often that means it will need to be accessible on all nodes in the cluster. During normal operations, Pod X running on Node A might stop and be restarted on Node C or Node B, so any PV it’s associated with (PV-X in the diagram below) will need to be accessible from every node where the Pod can run. It’s helpful to think about how a simple three-node Kubernetes cluster operates to understand what is expected of a PV. Note that the definition specifies a variety of aspects about the PV such as its name, capacity, access modes, etc. As with any cluster resources, it can be created via a configuration file written in YAML. Deciding what type(s) of storage your cluster will consume is an important management task taking into consideration static/dynamic provisioning, quality of service (QoS), can easily scale out, and more.Ī PV is a cluster resource similar to other resources in Kubernetes such as a node, memory (RAM), etc.
#What is kubernetes pvc drivers#
The various storage vendors and cloud providers have created Container Storage Interface (CSI) drivers that enable Kubernetes to take advantage of the features of their underlying storage offerings. Kubernetes supports many types of volumes including both file and block storage.
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A PV is an allocated storage volume within a cluster that has either been provisioned by an administrator or dynamically provisioned using Storage Classes (more on this later). PVs allow storage volumes to be separate from container instances. Applications often store information for later processing or as a record changes or transactions occur. Stateful applications require data to persist beyond the lifespan of a container instance. It also describes how PVs can be provisioned either statically or dynamically.
#What is kubernetes pvc how to#
This blog explains how to address the persistent storage needs of stateful containerized applications using Kubernetes persistent volumes (PVs) and Kubernetes persistent volume claims (PVCs). While an application running in a VM often stores data in the VM, that doesn’t make sense given the ephemeral nature of containers. A running VM, by comparison, might persist for weeks or months. As a result, you have many more containers running at one time than you would VMs, and the lifespan of any given container instance is typically much shorter-minutes or hours. Storage in the Kubernetes and container world is handled differently than it is with virtual machines (VMs) or other types of infrastructure.Ĭontainerized applications typically scale by running multiple instances of containers in parallel.