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A workload is an application running on Kubernetes.
Whether your workload is a single component or several that work together, on Kubernetes you run
it inside a set of pods.
In Kubernetes, a
Pod represents a set of running
containers on your cluster.
Kubernetes pods have a defined lifecycle.
For example, once a pod is running in your cluster then a critical fault on the
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 to recover, even if the node later becomes healthy.
However, to make life considerably easier, you don't need to manage each
Instead, you can use workload resources that manage a set of pods on your behalf.
These resources configure controllers
that make sure the right number of the right kind of pod are running, to match the state
Kubernetes provides several built-in workload resources:
ReplicaSet(replacing the legacy resource ReplicationController).
Deploymentis a good fit for managing a stateless application workload on your cluster, where any
Deploymentis interchangeable and can be replaced if needed.
StatefulSetlets you run one or more related Pods that do track state somehow. For example, if your workload records data persistently, you can run a
StatefulSetthat matches each
PersistentVolume. Your code, running in the
StatefulSet, can replicate data to other
Podsin the same
StatefulSetto improve overall resilience.
Podsthat provide node-local facilities. These might be fundamental to the operation of your cluster, such as a networking helper tool, or be part of an add-on.
Every time you add a node to your cluster that matches the specification in a
DaemonSet, the control plane schedules a
DaemonSetonto the new node.
CronJobdefine tasks that run to completion and then stop. Jobs represent one-off tasks, whereas
CronJobsrecur according to a schedule.
In the wider Kubernetes ecosystem, you can find third-party workload resources that provide
additional behaviors. Using a
custom resource definition,
you can add in a third-party workload resource if you want a specific behavior that's not part
of Kubernetes' core. For example, if you wanted to run a group of
Pods for your application but
stop work unless all the Pods are available (perhaps for some high-throughput distributed task),
then you can implement or install an extension that does provide that feature.
As well as reading about each resource, you can learn about specific tasks that relate to them:
- Run a stateless application using a
- Run a stateful application either as a single instance or as a replicated set
- Run automated tasks with a
To learn about Kubernetes' mechanisms for separating code from configuration, visit Configuration.
There are two supporting concepts that provide backgrounds about how Kubernetes manages pods for applications:
- Garbage collection tidies up objects from your cluster after their owning resource has been removed.
- The time-to-live after finished controller removes Jobs once a defined time has passed since they completed.