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---
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title: Deploy a workload to a Kubernetes cluster
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description: Use Docker Enterprise Edition to deploy Kubernetes workloads from yaml files.
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description: Use Docker Enterprise Edition to deploy Kubernetes workloads from yaml files.
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keywords: UCP, Docker EE, orchestration, Kubernetes, cluster
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---
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@ -48,17 +48,17 @@ later section.
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## Inspect the deployment
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The Docker EE web UI shows the status of your deployment when you click the
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The Docker EE web UI shows the status of your deployment when you click the
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links in the **Kubernetes** section of the left pane.
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1. In the left pane. click **Controllers** to see the resource controllers
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that Docker EE created for the NGINX server.
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2. Click the **nginx-deployment** controller, and in the details pane, scroll
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to the **Template** section. This shows the values that Docker EE used to
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to the **Template** section. This shows the values that Docker EE used to
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create the deployment.
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3. In the left pane, click **Pods** to see the pods that are provisioned for
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the NGINX server. Click one of the pods, and in the details pane, scroll to
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the **Status** section to see that pod's phase, IP address, and other
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the **Status** section to see that pod's phase, IP address, and other
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properties.
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{: .with-border}
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@ -81,7 +81,7 @@ spec:
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- port: 80
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nodePort: 30080
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selector:
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app: nginx
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app: nginx
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```
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The service connects the cluster's internal port 80 to the external port
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@ -89,11 +89,11 @@ The service connects the cluster's internal port 80 to the external port
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1. Repeat the previous steps and copy-paste the YAML that defines the `nginx`
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service into the **Object YAML** editor on the
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**Create Kubernetes Object** page. When you click **Create**, the
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**Create Kubernetes Object** page. When you click **Create**, the
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**Load Balancers** page opens.
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2. Click the **nginx** service, and in the details pane, find the **Ports**
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section.
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3. Click the link that's labeled **URL** to
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3. Click the link that's labeled **URL** to
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{: .with-border}
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@ -105,7 +105,7 @@ app label `nginx` and a corresponding label selector.
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Update an existing deployment by applying an updated YAML file. In this
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example, the server is scaled up to four replicas and updated to a later
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version of NGINX.
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version of NGINX.
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```yaml
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...
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@ -189,7 +189,7 @@ spec:
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```
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Save the previous YAML to a file named "deployment.yaml", and use the following
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command to deploy the NGINX server:
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command to deploy the NGINX server:
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```bash
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kubectl apply -f deployment.yaml
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@ -197,7 +197,7 @@ kubectl apply -f deployment.yaml
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## Inspect the deployment
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Use the `describe deployment` option to inspect the deployment:
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Use the `describe deployment` option to inspect the deployment:
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```bash
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kubectl describe deployment nginx-deployment
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@ -208,7 +208,7 @@ controllers.
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## Update the deployment
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Update an existing deployment by applying an updated YAML file.
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Update an existing deployment by applying an updated YAML file.
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Edit deployment.yaml and change the following lines:
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@ -216,7 +216,7 @@ Edit deployment.yaml and change the following lines:
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- Update the NGINX version by specifying **image: nginx:1.8**.
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Save the edited YAML to a file named "update.yaml", and use the following
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command to deploy the NGINX server:
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command to deploy the NGINX server:
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```bash
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kubectl apply -f update.yaml
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@ -248,5 +248,20 @@ You should see the currently running image:
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Image: nginx:1.8
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```
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## Kubernetes limitations
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There's a few limitations you should be aware when creating Kubernetes
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workloads:
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* Docker EE has its own RBAC system, so it's not possible to create
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ClusterRole objects, ClusterRoleBinding objects, or any other object that is
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created using the `/apis/rbac.authorization.k8s.io` endpoints.
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* To make sure your cluster is secure, only admin users can deploy Pods with
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privileged options. These are options like `PodSpec.hostIPC`, `PodSpec.hostNetwork`,
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`PodSpec.hostPID`, `SecurityContext.allowPrivilegeEscalation`,
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`SecurityContext.capabilities`, `SecurityContext.privileged`, and
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`Volume.hostPath`.
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* You can't grant permissions to Kubernetes service accounts.
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The `default` service account has no permissions and cannot use the Kubernetes
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API. All other service accounts have full admin permissions and can only be used
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by Docker EE administrators.
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