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

Discussion:
This "Workloads" doc page just has two links to Pods and Controllers. It would be great to give an overview of the purpose of workloads (why such an architectural construct is required? and how it is used in Kubernetes). Thanks.
An introduction to the workload concepts would be really useful /kind feature /language en /priority backlog
/triage accepted