Enterprise Distributed Application Service (EDAS) integrates with Container Service for Kubernetes (ACK) on the basis of cloud-native Kubernetes. EDAS allows you to manage the full lifecycle of Kubernetes containerized applications. Serverless Kubernetes clusters are applicable to scenarios where agility is important and can be used to process individual and multiple tasks. This topic describes how to use an image to deploy an application in a serverless Kubernetes cluster.

Prerequisites

Step 1: Create a serverless Kubernetes cluster

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

Step 2: Import the serverless Kubernetes cluster in 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 > Serverless Kubernetes Clusters.
  3. In the top navigation bar, select the region of the microservice namespace that you want to manage. From the Microservice Namespace drop-down list, select the namespace to which you want to import the serverless Kubernetes cluster. Then, click Synchronize Serverless Kubernetes Cluster.
  4. Find the serverless Kubernetes cluster to be imported and click Import in the Actions column.
    If the serverless Kubernetes cluster is in the Running state and the value in the Import Status column of the serverless Kubernetes cluster is Imported, the serverless Kubernetes cluster is imported to EDAS as expected.

Step 3: Deploy an application in the serverless 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.
    Deploy an application - Kubernetes - Image - Basic information - Alibaba Cloud
    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, and deployment method for the application, set the related resource parameters, and then click Next.
    Application configuration - Use an image to deploy an application in a serverless Kubernetes cluster
    Parameter Description
    Microservice Namespaces The microservice namespace of the serverless Kubernetes cluster. If you have not created a microservice namespace or do not select a microservice namespace, this parameter is set to Default.

    If you have not created a microservice namespace or you want to create another microservice namespace, click Create Microservice Namespace to create a microservice namespace. For more information, see the "Create a namespace" section of the Manage microservice namespaces topic.

    Cluster The cluster where you want to deploy the application. From the Cluster drop-down list, select the imported serverless Kubernetes cluster.

    If the selected Kubernetes cluster is not imported to EDAS, select This cluster is used for the first time in EDAS. If you select this check box, the cluster is imported to EDAS when an application is created. This consumes a certain amount of time. Then, check whether Alibaba Cloud Service Mesh is activated.

    Note You can select a cluster that is not in the microservice namespace in which 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 want to create a custom Kubernetes namespace, click Create Kubernetes Namespace. In the dialog box that appears, enter a name for the Kubernetes namespace in the K8s Namespace field. The name can contain digits, lowercase letters, and hyphens (-), and can be 1 to 63 characters in length. It must start and end with a letter or a digit.

    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.
    • 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 in a field as required. The default value 0 indicates that no limit is set.
  5. Optional. In the Advanced Settings step, configure the advanced settings.
  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 the overall information about an application. 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 released. You can click the state of the pod to view the advanced settings of the application instance, such as Deployment, Pod, and Startup Command.