You can deploy workloads onto your managed clusters from your multicluster engine for Kubernetes cluster. For example. See the following sample with ManifestWork
to create a basic deployment on your managed cluster from your multicluster engine for Kubernetes cluster:
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Log in to your multicluster engine for Kubernetes cluster:
oc login
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Create a YAML file to configure the
ManifestWork
resource as it is in the following example. ReplaceCLUSTER_NAME
with the name of the managed cluster that you imported from the Importing a cluster documentation. The example YAML deploys to your managed clusterdefault
namespace when you apply the file:apiVersion: work.open-cluster-management.io/v1 kind: ManifestWork metadata: name: hello-work namespace: ${CLUSTER_NAME} labels: app: hello spec: workload: manifests: - apiVersion: apps/v1 kind: Deployment metadata: name: hello namespace: default spec: selector: matchLabels: app: hello template: metadata: labels: app: hello spec: containers: - name: hello image: quay.io/asmacdo/busybox command: ['/bin/sh', '-c', 'echo "Hello, Kubernetes!" && sleep 300'] - apiVersion: v1 kind: Service metadata: labels: app: hello name: hello namespace: default spec: ports: - port: 8000 protocol: TCP targetPort: 8000 selector: app: hello
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Apply the YAML file. Run the following command:
oc apply -f manifestwork.yaml
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Run the following command to check the status of the
ManifestWork
from your multicluster engine for Kubernetes cluster:oc get manifestwork -n ${CLUSTER_NAME} hello-work -o yaml
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Log in to your managed cluster to view the results. See the following command:
oc login
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View the deployment that you created with your multicluster engine for Kubernetes cluster:
$ oc get deploy -n default NAME READY UP-TO-DATE AVAILABLE AGE hello 1/1 1 1 37s
You can also view the created pod with the following command:
$ oc get pod NAME READY STATUS RESTARTS AGE hello-65f58985ff-4rm57 1/1 Running 0 42s
If you view the logs for the created pod, you see a message similar to the following:
$ oc logs hello-65f58985ff-4rm57 Hello, Kubernetes!