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Chapter 3. Manually scaling a compute machine set
You can add or remove an instance of a machine in a compute machine set.
If you need to modify aspects of a compute machine set outside of scaling, see Modifying a compute machine set.
3.1. Prerequisites
-
If you enabled the cluster-wide proxy and scale up compute machines not included in
networking.machineNetwork[].cidrfrom the installation configuration, you must add the compute machines to the Proxy object’snoProxyfield to prevent connection issues.
You can use the advanced machine management and scaling capabilities only in clusters where the Machine API is operational. Clusters with user-provisioned infrastructure require additional validation and configuration to use the Machine API.
Clusters with the infrastructure platform type none cannot use the Machine API. This limitation applies even if the compute machines that are attached to the cluster are installed on a platform that supports the feature. This parameter cannot be changed after installation.
To view the platform type for your cluster, run the following command:
$ oc get infrastructure cluster -o jsonpath='{.status.platform}'3.2. Scaling a compute machine set manually
To add or remove an instance of a machine in a compute machine set, you can manually scale the compute machine set.
This guidance is relevant to fully automated, installer-provisioned infrastructure installations. Customized, user-provisioned infrastructure installations do not have compute machine sets.
Prerequisites
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Install an OpenShift Container Platform cluster and the
occommand line. -
Log in to
ocas a user withcluster-adminpermission.
Procedure
View the compute machine sets that are in the cluster by running the following command:
$ oc get machinesets.machine.openshift.io -n openshift-machine-api
The compute machine sets are listed in the form of
<clusterid>-worker-<aws-region-az>.View the compute machines that are in the cluster by running the following command:
$ oc get machines.machine.openshift.io -n openshift-machine-api
Set the annotation on the compute machine that you want to delete by running the following command:
$ oc annotate machines.machine.openshift.io/<machine_name> -n openshift-machine-api machine.openshift.io/delete-machine="true"
Scale the compute machine set by running one of the following commands:
$ oc scale --replicas=2 machinesets.machine.openshift.io <machineset> -n openshift-machine-api
Or:
$ oc edit machinesets.machine.openshift.io <machineset> -n openshift-machine-api
TipYou can alternatively apply the following YAML to scale the compute machine set:
apiVersion: machine.openshift.io/v1beta1 kind: MachineSet metadata: name: <machineset> namespace: openshift-machine-api spec: replicas: 2
You can scale the compute machine set up or down. It takes several minutes for the new machines to be available.
ImportantBy default, the machine controller tries to drain the node that is backed by the machine until it succeeds. In some situations, such as with a misconfigured pod disruption budget, the drain operation might not be able to succeed. If the drain operation fails, the machine controller cannot proceed removing the machine.
You can skip draining the node by annotating
machine.openshift.io/exclude-node-drainingin a specific machine.
Verification
Verify the deletion of the intended machine by running the following command:
$ oc get machines.machine.openshift.io
3.3. The compute machine set deletion policy
Random, Newest, and Oldest are the three supported deletion options. The default is Random, meaning that random machines are chosen and deleted when scaling compute machine sets down. The deletion policy can be set according to the use case by modifying the particular compute machine set:
spec: deletePolicy: <delete_policy> replicas: <desired_replica_count>
Specific machines can also be prioritized for deletion by adding the annotation machine.openshift.io/delete-machine=true to the machine of interest, regardless of the deletion policy.
By default, the OpenShift Container Platform router pods are deployed on workers. Because the router is required to access some cluster resources, including the web console, do not scale the worker compute machine set to 0 unless you first relocate the router pods.
Custom compute machine sets can be used for use cases requiring that services run on specific nodes and that those services are ignored by the controller when the worker compute machine sets are scaling down. This prevents service disruption.
