![]() ![]() Persistent Volumes fulfill the three requirements outlined earlier.Ī Persistent Volume (PV) object represents a storage volume that is used to persist application data. With Persistent Volumes, data is persisted regardless of the lifecycle of the application, container, Pod, Node, or even the cluster itself. Kubernetes also supports Persistent Volumes. The temporary file system is tied to the lifecycle of the container the ephemeral Volume is tied to the lifecycle of the pod Decoupling pods from the storage: Persistent Volumes However as soon as the Pod is deleted, the Volume is deleted as well, so it still does not fulfill our three requirements. It enables safe container restarts and sharing of data between containers within a Pod. An ephemeral Volume‘s lifetime is coupled to the Pod. Ephemeral volumesĪn ephemeral Kubernetes Volume solves both of the problems faced with ephemeral storage. Also, multiple containers cannot share a temporary filesystem. In case of a container crash, the temporary filesystem is lost-the container starts with a clean slate again. However, ephemeral storage does not satisfy the three storage requirements. Ephemeral storageĬontainers can use the temporary filesystem (tmpfs) to read and write files. Kubernetes has several types of storage options available, not all of which are persistent. Storage must be highly available regardless of crashes or application failures.Storage must be available from all pods and nodes in the Kubernetes cluster.Storage must not depend on the pod lifecycle.To prevent this data loss and run a stateful application on Kubernetes, we need to adhere to three simple storage requirements: ![]() If a pod crashes or is terminated, data is lost. When running a stateful application, and without persistent storage, data is tied to the lifecycle of the pod or container. Part 2 : We dive deep into an example machine learning workload that requires persistent storage and that runs using Kubeflow on Amazon EKS.Part 1 : In this first part we cover the concepts of persistent storage for Kubernetes and how we can apply those concepts for a basic workload using Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon Elastic File System (Amazon EFS) as persistent storage.For this reason, we created this series of two blogs posts that will go through concepts and terminologies first and then dive into a practical use case. Persistent storage for Kubernetes is a complex topic, especially for someone who is new to storage and is getting started with Kubernetes. We walk through designing and building a stateful application on Kubernetes that mitigates concern for data loss in case of failures or terminations at the host/pod/container level. In this blog, we cover persistent storage concepts for Kubernetes environments and storage options in the Kubernetes world. This requires persistent storage, that is, storage that lives beyond the lifetime of the container, pod, or node. When running stateful applications using Kubernetes, state needs to be persisted regardless of container, pod, or node crashes or terminations. ![]() Stateful applications rely on data being persisted and retrieved to run properly. ![]()
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