Demo using Cloud Clusters

This topic describes the steps to install KubeSlice on cloud clusters. To install the KubeSlice Controller and its components on your existing clusters, use the kubeslice-cli install command.

Prerequisites

Before you begin, ensure the following prerequisites are met:

• You have set up the environment to install the KubeSlice Controller on the cluster. For more information, see Prerequisites.
• You have set up the environment for the worker clusters. For more information, see Prerequisites.
• You have authenticated the worker clusters with the cloud providers. For more information, see Prepare Clusters.
• You have installed Istio on the worker clusters to configure the external gateways. For more information, see Install Istio.
• You have cluster administrator privileges to install the KubeSlice Controller on controller cluster and the Slice Operator on worker clusters.

Install KubeSlice

In this demonstration, let us install KubeSlice on cloud clusters using the custom topology configuration YAML.

Install the KubeSlice Controller and Worker Clusters

You must create a topology configuration file that includes the names of the clusters and the cluster contexts that host the KubeSlice Controller, the worker clusters, and a project name. For more information, see the sample topology configuration file.

The following is an example custom topology file for installing KubeSlice in an existing setup.

configuration:
  cluster_configuration:
    kube_config_path: <path-to-the-kubeconfig-file>
    controller:
      name: controller
      context_name: cloud-controller
      kube_config_path: <path-to-the-controller-kubeconfig-file>
    workers:
      - name: worker-1
        context_name: cloud-worker-1
      - name: worker-2
        context_name: cloud-worker-2
    kube_config_path: <path-to-the-worker-kubeconfig-file>
  kubeslice_configuration:
    project_name: kubeslice-avesha
  helm_chart_configuration:
    repo_alias: kubeslice
    repo_url: https://kubeslice.github.io/kubeslice/
    cert_manager_chart:
      chart_name: cert-manager
    controller_chart:
      chart_name: kubeslice-controller
    worker_chart:
      chart_name: kubeslice-worker

Use the following command to install the controller and the worker clusters:

kubeslice-cli --config=<topology-configuration-file> install

The above command installs the KubeSlice Controller, creates a project, and registers the worker cluster with the project by installing the Slice Operator on the worker cluster.

Register a New Worker Cluster

To register a new worker cluster with the existing KubeSlice configuration (or KubeSlice Controller):

1. Add new worker cluster information under workers in the custom topology file that was used to install KubeSlice earlier.
2. Use the install command to apply the updated custom topology file.

The following is an example custom topology file for registering a new worker cluster. Under workers, add a new worker with the name worker-3 and the cluster context cloud-worker-3.

configuration:
  cluster_configuration:
    kube_config_path: <path-to-the-kubeconfig-file>
    controller:
      name: controller
      context_name: kind-controller
      kube_config_path: <path-to-the-controller-kubeconfig-file>
    workers:
      - name: worker-1
        context_name: cloud-worker-1
      - name: worker-2
        context_name: cloud-worker-2
      - name: worker-3
        context_name: cloud-worker-3    
    kube_config_path: <path-to-the-worker-kubeconfig-file>
  kubeslice_configuration:
    project_name: kubeslice-avesha
  helm_chart_configuration:
    repo_alias: kubeslice
    repo_url: https://kubeslice.github.io/kubeslice/
    cert_manager_chart:
      chart_name: cert-manager
    controller_chart:
      chart_name: kubeslice-controller
    worker_chart:
      chart_name: kubeslice-worker

Use the following command to register a new worker cluster with the KubeSlice Controller:

kubeslice-cli install --config=<new-worker-topology-yaml> -s controller

Create a Slice

To onboard your existing namespaces (and their applications) onto a slice:

1. Create a slice configuration YAML file (choose the namespaces, clusters, and so on to be part of the slice).
2. Use the kubeslice-cli create command to apply the slice configuration YAML file.

Create a Slice Configuration YAML File

Use the following template to create a slice configuration YAML file.

info

To understand more about the configuration parameters, see Slice Configuration Parameters.

apiVersion: controller.kubeslice.io/v1alpha1
kind: SliceConfig
metadata:
  name: <slice-name>                #The name of the slice
spec:  
  sliceSubnet: <slice-subnet>        #The slice subnet
  sliceType: Application
  sliceGatewayProvider:
    sliceGatewayType: OpenVPN
    sliceCaType: Local
  sliceIpamType: Local
  clusters:
  - <worker-cluster-name1>           #The name of your worker cluster1
  - <worker-cluster-name2>           #The name of your worker cluster2
  qosProfileDetails:
    queueType: HTB
    priority: 0
    tcType: BANDWIDTH_CONTROL
    bandwidthCeilingKbps: 30000
    bandwidthGuaranteedKbps: 20000
    dscpClass: AF11

Apply the Slice Configuration YAML file

caution

The kubeslice-cli create sliceConfig -n <project-namespace> -f <slice-configuration-yaml> command returns successfully after the slice configuration is applied. However, in each cluster, the relevant pods for controlling and managing the slice may still be starting. Ensure to wait for the slice to complete the initialization before deploying services to it.

To apply the slice configuration YAML, use the following command:

kubeslice-cli create sliceConfig -n <project-namespace> -f <slice-configuration-yaml> --config=<path-to-the-custom-topology-file>

Example

kubeslice-cli create sliceConfig -n kubeslice-avesha -f slice-config.yaml 

Example output

🏃 Running command: /usr/local/bin/kubectl apply -f slice-config.yaml -n kubeslice-avesha
sliceconfig.controller.kubeslice.io/slice-red created

Successfully Applied Slice Configuration.

Deploy the Application

info

If the application is already deployed on a namespace that is onboarded to a slice, then re-deploy the application.

Create a Service Export

To create a service export, use the following command:

kubeslice-cli create serviceExportConfig -f <service-export-yaml> -n <project-namespace>  --config=<path-to-the-custom-topology-file>

Validate the Service Export

When an application service runs on one of the worker clusters that are onboarded to a slice, the worker generates a ServiceExport for the application and propagates it to the KubeSlice Controller.

To verify the service export on the controller cluster, use the following command:

kubeslice-cli get serviceExportConfig -n <project-namespace>

Example

kubeslice-cli get serviceExportConfig -n kubeslice-avesha

Example Output

Fetching KubeSlice serviceExportConfig...
🏃 Running command: /usr/local/bin/kubectl get serviceexportconfigs.controller.kubeslice.io -n kubeslice-avesha
NAME                             AGE
iperf-server-iperf-cloud-worker-1   43s

To view the details of the service export configuration, use the following command:

kubeslice-cli describe serviceExportConfig <resource-name> -n <project-namespace>

Example

kubeslice-cli describe serviceExportConfig iperf-server-iperf-cloud-worker-1 -n kubeslice-avesha

The following output shows the ServiceExportConfig for iperf-server application is present on the controller cluster.

Describe KubeSlice serviceExportConfig...
🏃 Running command: /usr/local/bin/kubectl describe serviceexportconfigs.controller.kubeslice.io iperf-server-iperf-cloud-worker-1 -n kubeslice-avesha
Name:         iperf-server-iperf-cloud-worker-1
Namespace:    kubeslice-avesha
Labels:       original-slice-name=slice-red
              service-name=iperf-server
              service-namespace=iperf
              worker-cluster=cloud-worker-1
Annotations:  <none>
API Version:  controller.kubeslice.io/v1alpha1
Kind:         ServiceExportConfig
Spec:
  Service Discovery Ports:
    Name:             tcp
    Port:             5201
    Protocol:         TCP
  Service Name:       iperf-server
  Service Namespace:  iperf
  Slice Name:         slice-red
  Source Cluster:     cloud-worker-1

Modify the Service Discovery Configuration

kubeslice-cli enables you to modify the service discovery parameters. For example, to modify the port on which the service is running, edit the value and save. This updates the ServiceExportConfig. The ServiceExportConfig will again be propagated to all the worker clusters.

To edit the service export configuration, use the following command:

kubeslice-cli edit serviceExportConfig <resource-name> -n <project-namespace> --config=<path-to-the-custom-topology-file>

Example

kubeslice-cli edit serviceExportConfig iperf-server-iperf-cloud-worker-1 -n kubeslice-avesha

Example Output

Editing KubeSlice serviceExportConfig...
🏃 Running command: /usr/local/bin/kubectl edit serviceexportconfigs.controller.kubeslice.io iperf-server-iperf-cloud-worker-1 -n kubeslice-avesha
...

Uninstall KubeSlice

To uninstall KubeSlice Controller and all its components, use the following command:

kubeslice-cli uninstall --config=<file-path-of-topology> --all

To uninstall KubeSlice from your cloud clusters step-by-step, follow the instructions in Uninstall KubeSlice.