Deploying workloads to GKE cluster #

Types of workloads #

• Stateless applications
• Stateful applications
• Batch jobs
• Daemons

Stateless applications #

Does not preserve its state and saves no data to persistent storage

Stateful applications #

A stateful application requires that its state be saved or persistent. Stateful applications use persistent storage, such as persistent volumes, to save data for use by the server or by other users.

Batch jobs #

Batch jobs represent finite, independent, and often parallel tasks which run to their completion. Some examples of batch jobs include automatic or scheduled tasks like sending emails, rendering video, and performing expensive computations.

You can create a Kubernetes Job to execute and manage a batch task on your cluster. You can specify the number of Pods that should complete their tasks before the Job is complete, as well as the maximum number of Pods that should run in parallel.

Daemons #

Daemons perform ongoing background tasks in their assigned nodes without the need for user intervention. Examples of daemons include log collectors like Fluentd and monitoring services.

You can create a Kubernetes DaemonSet to deploy a daemon on your cluster. DaemonSets create one Pod per node, and you can choose a specific node to which the DaemonSet should deploy.