Manually Install EGS

This topic describes how to manually install EGS using the helm charts.

Before you begin the installation, ensure that prerequisites are met.

Create an Image Pull Secrets YAML File

Create an imagepullsecrets.yaml file with the following content:

imagePullSecrets:
  repository: IMAGE_REPOSITORY
  username: USERNAME
  password: PASSWORD

Add and Update the Helm Repository

Use the following command to add and update the helm repository:

helm repo add egs https://smartscaler.nexus.aveshalabs.io/repository/kubeslice-egs-helm-ent-prod
helm repo update

Install the EGS Controller

1. Create a file called values-controller.yaml with the following properties:

   global:
     imageRegistry: docker.io/aveshasystems
     kubeTally:
       enabled: false # need postgress avaialble for true
       postgresSecretName: POSTGRES_SECRET_NAME
       postgresAddr: POSTGRES_ADDR
       postgresPort: POSTGRES_PORT
       postgresUser: POSTGRES_USER
       postgresPassword: POSTGRES_PASSWORD
       postgresDB: POSTGRES_DB
       postgresSslmode: POSTGRES_SSLMODE
       prometheusUrl: PROMETHEUS_ENDPOINT
   kubeslice:
     controller:
       endpoint: CONTROLLER_ENDPOINT

2. Use the values-controller.yaml in the following command to install the EGS Controller:

   helm --namespace kubeslice-controller --kubeconfig  <KUBECONFIG> --kube-context <KUBECONTEXT> install egs-controller kubeslice-egs-helm-ent-prod/kubeslice-controller-egs -f imagepullsecret-values.yaml -f values-controller.yaml --version <EGS_VERSION> --create-namespace

Install the EGS Admin Portal

1. Create a file called values-ui.yaml with the following properties:

   global:
     imageRegistry: docker.io/aveshasystems # Docker registry for the UI images
   kubeslice:
     prometheus:
        url: PROMETHEUS_ENDPOINT
     uiproxy:
        service:
          type: LoadBalancer # Service type for the UI proxy
     egsCoreApis:
        enabled: true # Enable EGS core APIs for the UI
        service:
          type: ClusterIP # Service type for the EGS core APIs
          #### Helm Flags and Verification Settings ####

2. Use the values-ui.yaml in the following command to install the EGS Admin Portal:

   helm --namespace kubeslice-controller --kubeconfig  <KUBECONFIG> --kube-context <KUBECONTEXT> install egs-ui kubeslice-egs-helm-ent-prod/kubeslice-ui-egs -f imagepullsecret-values.yaml -f values-ui.yaml --version <EGS_VERSION> --create-namespace

Create a Project

1. Create a file called project.yaml with the following properties:

   apiVersion: controller.kubeslice.io/v1alpha1
   kind: Project
   metadata:
     name: avesha
     namespace: kubeslice-controller
   spec:
     serviceAccount:
       readWrite:
         - admin

2. Apply the project.yaml file by using it in the following command:

   kubectl apply --kubeconfig  <KUBECONFIG> --context <KUBECONTEXT> -f project.yaml

Get the EGS Admin Portal Endpoint

Use the following command script to get the EGS Admin Portal and access token to log in to it:

echo "EGS UI Login: https://$(kubectl --kubeconfig <KUBECONFIG> --context <KUBECONTEXT> get svc kubeslice-ui-proxy -n kubeslice-controller -o jsonpath='{.status.loadBalancer.ingress[0].ip}')"


echo "Token to login with"
kubectl -n kubeslice-avesha describe secret kubeslice-rbac-rw-admin | tail -n 1

Register a Worker Cluster

1. Log in to the EGS Admin Portal.

2. On the EGS Admin Portal, go to k8s Clusters on the left sidebar.

3. As described in Manual Method of cluster registration, add the controller cluster's Kubernetes control plane endpoint.

4. Add the worker cluster's Prometheus and Grafana Dashboard endpoints under Advanced Options.

5. Click Generate Credentials to download the worker cluster's (Slice Operator) worker-values.yaml file.

6. In the downloaded worker-values.yaml file, cross verify following properties:

   egs:
     prometheusEndpoint: PROMETHEUS_ENDPOINT
     grafanaDashboardBaseUrl: "GRAFANA_DASHBOARD_BASE_URL/d/Oxed_c6Wz" # Grafana dashboard base URL
   metrics:
     insecure: true # Allow insecure connections for metrics
   kserve:
     enabled: true # Enable KServe for the worker
     kserve: # KServe chart options
       controller:
         gateway:
           domain: kubeslice.com
           ingressGateway:
             className: "INGRESS_CLASS_NAME" # Ingress class name for the KServe gateway

7. Complete registering the worker cluster using the following command:

   helm --namespace kubeslice-system --kubeconfig <KUBECONFIG> --kube-context install egs-worker kubeslice-egs-helm-ent-prod/kubeslice-worker-egs -f values-worker.yaml -f imagepullsecret-values.yaml --version <EGS_VERSION> --create-namespace