Use an image to deploy an application in a Container Service Kubernetes Cluster

Step 1: Create an ACK cluster

Log on to the ACK console and create an ACK cluster. For more information, see Create a managed Kubernetes cluster.

To create a serverless Kubernetes cluster, set the VPC parameter to Create VPC and set the Service Discovery parameter to PrivateZone. This allows the serverless Kubernetes cluster to use Alibaba Cloud Service Mesh after the cluster is imported to EDAS. If you set the VPC parameter to Select Existing VPC, check whether the cluster contains virtual private cloud (VPC) and vSwitch resources after you create the cluster.

Step 2: Import the ACK cluster to the EDAS console

By default, the ack-ahas-sentinel-pilot, ack-arms-pilot, and ack-arms-prometheus components are installed when you import an ACK cluster to EDAS in the EDAS console. The ack-ahas-sentinel-pilot component is an application protection component for throttling and degradation. The ack-arms-pilot component is an Application Real-Time Monitoring Service (ARMS) monitoring component. The ack-arms-prometheus component is a Prometheus monitoring component.

1. Log on to the EDAS console.
2. In the left-side navigation pane, choose Resource Management > Container Service Kubernetes Clusters.
3. In the top navigation bar, select the region where you want to import the cluster, and click Synchronize Container Service Kubernetes Cluster.
4. In the Actions column of the ACK cluster that you want to import, click Import.
5. In the Import Kubernetes Cluster dialog box, select the destination microservice namespace from the Microservice Namespaces drop-down list, turn on or off Service Mesh based on your business requirements, and then click Import.
   If the value of the Cluster Status parameter is Running and the value of the Import Status parameter is Imported. for the ACK cluster, the ACK cluster is imported to EDAS.

Step 3: Deploy an application in a Container Service Kubernetes Cluster

1. Log on to the EDAS console.
2. In the left-side navigation pane, click Applications. In the top navigation bar, select a region. In the upper part of the page, select a namespace. In the upper-left corner of the Applications page, click Create Application.
3. In the Basic Information step, set the parameters in the Cluster Type and Application Runtime Environment sections and click Next.
   

   GUI element	Description
   Cluster Type	The type of the cluster where you want to deploy the application. Select Kubernetes Clusters.
   Hosted Applications	The programming language of the application to be deployed. Valid values: Java, PHP, and Node.js, C++, Go, and Other Languages. You can use images to deploy applications written in Java, Node.js, C++, Go, and Other Languages. In this topic, Java is selected in the example.
   Application Runtime Environment	The runtime environment of the application. You must select a runtime environment based on the programming language and deployment package of the application. In this topic, Custom is selected in the example. A value of Custom indicates that the application can be deployed by using a custom image. If you select Custom, you do not need to select a runtime environment. The image that you use specifies a runtime environment.

4. In the Configurations step, configure the environment information, basic information, deployment method, and resource parameters for the application, and click Next.
   

   GUI element	Description
   Microservice Namespaces	The namespace where you want to deploy the application. Select the Microservice Namespaces that you created. If you have not created or do not select a Microservice Namespaces , the Microservice Namespaces parameter is set to Default. If you have not created Microservice Namespaces , or you need to create a new Microservice Namespaces , you can click Create a microservice space , create a brand new Microservice Namespaces . see Create a microservice space.
   Cluster	The cluster where you want to deploy the application. From the Cluster drop-down list, select the imported Kubernetes cluster. If the K8s cluster you selected is not imported to EDAS, select The cluster is used in EDAS for the first time. After you select the check box, the cluster will be imported to EDAS when the application is created, which will be time-consuming. and confirm whether the service mesh is turned on. Note You can select a cluster that is not in the microservice namespace where you want to deploy the application.
   K8s Namespace	The Kubernetes namespace of the cluster. Internal system objects are allocated to different Kubernetes namespaces to form logically isolated projects, groups, or user groups. This way, different groups can be separately managed and can also share the resources of the entire cluster. Valid values: default: the default Kubernetes namespace. If no Kubernetes namespace is specified for an object, the default Kubernetes namespace is used. kube-system: the Kubernetes namespace of the objects that are created by the system. kube-public: the Kubernetes namespace that is automatically created by the system. This Kubernetes namespace can be read by all the users, including the users who are not authenticated. In this example, default is selected. If you need to customize the creation of K8s Namespace, click Create K8s Namespace and set K8s Namespace The name. The name setting must contain only digits, lowercase letters, and dashes (-), and must be letters or digits at the beginning and end, and must be 1 to 63 characters in length.
   Application Name	The name of the application. The name must start with a letter and can contain digits, letters, and hyphens (-). The application name can be up to 36 characters in length.
   Application Description	The description of the application. The description can be up to 128 characters in length.
   Image Type	The type of the image used to deploy the application. Valid values: Configure Image If you select this option, you can set the Alibaba Cloud Container Registry parameter to Current Account. In this case, you must also set the Region, Container Registry, Image Repository Namespace, Image Repository Name parameters and select an image version. You can also set the Alibaba Cloud Container Registry parameter to Other Alibaba Cloud Accounts. If your image is stored in a public repository, you need only to set the Full Image Address parameter. If your image is stored in a private repository, you must use a password-free plug-in to pull the container image. For more information, see Use aliyun-acr-credential-helper to pull images without a password. Demo Image If you select this option, you must select a demo image provided by EDAS and then an image version. Note Before you use the images in a repository of Container Registry Enterprise Edition to deploy applications as a RAM user, the RAM user must obtain the required permissions from the relevant Alibaba Cloud account. For more information, see Configure policies for RAM users to access Container Registry.
   Total Pods	The number of pods on which the application is to be deployed.
   Single-pod Resource Quota	The amount of CPU and memory resources that you want to reserve for a pod. To set a limit, enter a numeric value. The default value 0 indicates that no limit is set.

5. Optional. In the Advanced Settings step, configure the advanced settings.
   • Configure scheduling rules
   • Configure a startup command
   • Configure environment variables
   • Configure persistent storage
   • Configure local storage
   • Configure application lifecycle hooks and probes
   • Configure log collection
   • Configure Tomcat
   • Configure Java startup parameters
   • Configure default Auto Scaling
6. Click Create Application.
   The application requires several minutes to be deployed. During the process, you can view the change records to track the deployment progress of the application. For more information, see View application overview. After the application is deployed, the Application Overview page appears. On this page, you can check the status of the pod. If the pod is in the Running state, the application is published. You can click the state of the pod to view the advanced settings of the application instance, such as Deployment, Pods, and Startup Command.

What to do next

After the application is deployed, you can add an Internet-facing Server Load Balancer (SLB) instance to enable the access to the application over the Internet. You can also add an internal-facing SLB instance so that all the nodes in the same VPC can access the application by using this internal-facing SLB instance. For more information, see Bind SLB instances or Reuse an SLB instance.