Overview
You can specify the scheduling of the Pods under a workload in the cluster by setting the scheduling policy in the advanced settings of the workload. The following are the typical use cases:
- Run the Pods on a specific node.
- Run the Pods on nodes in a specific scope (which can be an availability zone, a model and so on).
Prerequisites
- Kubernetes 1.7 or later, and scheduling policies are configured. Scheduling policies can be found under the Advanced Settings of a workload.
- To ensure that your Pods can be scheduled successfully, the node should have resources available for container scheduling after the scheduling policy is configured.
- You need node labels if you use custom scheduling features. For details, refer to Setting Node Label.
Configuring a scheduling policy
If your cluster is created using Kubernetes 1.7 or later, you can set a scheduling policy when creating a workload.
Select one of the following scheduling types:
- Schedule to a specific node: schedule Pods to a specific node with matching node labels.
- Custom scheduling: customize how Pods are scheduled by matching Pod labels.
Custom scheduling policies have the following modes:
- Conditions that must be met: if a node meets the affinity conditions, the Pods are scheduled to the corresponding node. If not, the scheduling fails.
- Conditions that should be met if possible: if a node meets the affinity conditions, the Pods are scheduled to the corresponding node. If not, the pods are scheduled to a random node.
Multiple custom scheduling policies can be added. The following is a list of operators:
- In: the value of the label is in the list.
- NotIn: the value of the label is not in the list.
- Exists: the key of the label exists.
- DoesNotExits: the key of the label does not exist.
- Gt: the value of the label is greater than the listed value (string match).
- Lt: the value of the label is less than the listed value (string match).
How It Works
Kubernetes uses YAML files to distribute scheduling policies and the affinity and anti-affinity mechanism ensures that Pods are scheduled according to rules. For more information on this mechanism, refer to Kubernetes official documentation.
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