Add introduction to Workloads concept
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@ -3,5 +3,55 @@ title: "Workloads"
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weight: 50
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description: >
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description: >
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Understand Pods, the smallest deployable compute object in Kubernetes, and the higher-level abstractions that help you to run them.
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Understand Pods, the smallest deployable compute object in Kubernetes, and the higher-level abstractions that help you to run them.
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---
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{{< glossary_definition term_id="workload" length="short" >}}
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Whether your workload is a single component or several that work together, on Kubernetes you run
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it inside a set of [Pods](/docs/concepts/workloads/pods).
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In Kubernetes, a Pod represents a set of running {{< glossary_tooltip text="containers" term_id="container" >}}
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on your cluster.
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A Pod has a defined lifecycle. For example, once a Pod is running in your cluster then
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a critical failure on the {{< glossary_tooltip text="node" term_id="node" >}} where that
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Pod is running means that all the Pods on that node fail. Kubernetes treats that level
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of failure as final: you would need to create a new Pod even if the node later recovers.
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However, to make life considerably easier, you don't need to manage each Pod directly.
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Instead, you can use _workload resources_ that manage a set of Pods on your behalf.
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These resources configure {{< glossary_tooltip term_id="controller" text="controllers" >}}
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that make sure the right number of the right kind of Pod are running, to match the state
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you specified.
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Those workload resources include:
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* [Deployment](/docs/concepts/workloads/controllers/deployment/) and [ReplicaSet](/docs/concepts/workloads/controllers/replicaset/)
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(replacing the legacy resource {{< glossary_tooltip text="ReplicationController" term_id="replication-controller" >}});
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* [StatefulSet](/docs/concepts/workloads/controllers/statefulset/);
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* [DaemonSet](/docs/concepts/workloads/controllers/daemonset/) for running Pods that provide
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node-local facilities, such as a storage driver or network plugin;
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* [Job](/docs/concepts/workloads/controllers/job/) and
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[CronJob](/docs/concepts/workloads/controllers/cronjob/)
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for tasks that run to completion.
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There are also two supporting concepts that you might find relevant:
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* [Garbage collection](/docs/concepts/workloads/controllers/garbage-collection/) tidies up objects
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from your cluster after their _owning resource_ has been removed.
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* The [_time-to-live after finished_ controller](/docs/concepts/workloads/controllers/ttlafterfinished/)
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removes Jobs once a defined time has passed since they completed.
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## {{% heading "whatsnext" %}}
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As well as reading about each resource, you can learn about specific tasks that relate to them:
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* [Run a stateless application using a Deployment](/docs/tasks/run-application/run-stateless-application-deployment/)
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* Run a stateful application either as a [single instance](/docs/tasks/run-application/run-single-instance-stateful-application/)
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or as a [replicated set](/docs/tasks/run-application/run-replicated-stateful-application/)
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* [Run Automated Tasks with a CronJob](/docs/tasks/job/automated-tasks-with-cron-jobs/)
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Once your application is running, you might want to make it available on the internet as
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a [Service](/docs/concepts/services-networking/service/) or, for web application only,
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using an [Ingress](/docs/concepts/services-networking/ingress).
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You can also visit [Configuration](/docs/concepts/configuration/) to learn about Kubernetes'
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mechanisms for separating code from configuration.
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@ -1,5 +1,5 @@
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---
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---
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title: "Controllers"
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title: "Workload Resources"
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weight: 20
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weight: 20
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---
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