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We already learned

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quite a bit about Kubernetes

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and in the end we do use Kubernetes,

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to deploy our containers to some host machines,

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one or multiple host machines.

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At the moment, with minikube, it's one host machine,

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it's this virtual machine on our local host machine.

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But the idea behind Kubernetes,

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as explained throughout the last module,

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of course is that eventually we can deploy our application

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to a multi-machine, a multi-node cluster.

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Now therefore, of course, when we deploy our containers,

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we in the end face the same kinds of problems

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we faced when working with Docker

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locally on our local host machine

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without any clusters or anything like that.

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And for example,

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one problem we'll also run into at some point

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is how we store and manage data.

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And how we can ensure that any data

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created by our containers

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survives if these containers shut down

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or if, in the context of Kubernetes,

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if the pods hosting these containers

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also are removed or extended or moved between nodes.

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And therefore in this course section

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we are going to revisit a concept which we already saw

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but which we up to this point only saw

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in the context of our local machine

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and of using Docker or Docker Compose.

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And that would be volumes.

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We're going to have another look

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at volumes in this course section

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and we're going to see how we can make volumes work

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and survive with Kubernetes.

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We're going to have a look at regular volumes

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and we're then also going to dive into something called

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persistent volumes and persistent volume claims.

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And I will of course explain

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what that is and why we need it.

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Well, and then, kind of loosely related to that,

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we're also going to have a look at working

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with environment variables later in this course section.

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So again, lot of content to go through,

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let's not waste anytime and jump right in.