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from vms to kubernetes: overcoming data storage challenges

migrating from traditional virtual machine (vm) based infrastructure to kubernetes offers numerous benefits like scalability, efficiency, and automation. however, it also introduces new challenges, especially when it comes to managing persistent data. vms often rely on local disks or network file systems, whereas kubernetes utilizes a more dynamic and container-centric approach to storage.

this tutorial will guide you through the data storage challenges you'll face when moving from vms to kubernetes and provide practical solutions with code examples. we'll cover various aspects, including:

*1. understanding the differences in storage paradigms:*

*vms:* often rely on:
*local disks:* direct access to physical storage. fast but tied to the vm's lifecycle.
*network file systems (nfs):* shared storage across vms, but can be a single point of failure and might not be container-aware.
*san (storage area network):* high-performance, but complex to manage and provision.
*kubernetes:* designed for:
*immutability:* containers are treated as ephemeral; data should not be stored inside them.
*dynamic provisioning:* storage should be provisioned and deprovisioned automatically based on application needs.
*abstraction:* storage should be accessed through a consistent interface, regardless of the underlying implementation.

*2. key kubernetes storage concepts:*

*volumes:* a directory accessible to a container. provides a way to persist data across container restarts.
*persistentvolume (pv):* a piece of storage provisioned by an administrator or dynamically using storage classes. it represents a storage resource in the cluster. think of it as a "claim" for a certain amount of storage. has a lifecycle independent of pods.
*persistentvolumeclaim (pvc):* a request for storage by a user. it's a claim against a pv. a pvc s ...

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