Wavenet Cloud Documentation

8.2 Creating a Cluster

Creating an On-Premise Cluster

Creating a GCP Cluster

Creating an AWS Cluster

 

  1. Login to https://portal.ahasa.io/login.

  2. On the Left Pane, expand Cluster and click Cluster Management.

    Figure 8.2.1: Navigating to Cluster Management

  3. Click Create.

    Figure 8.2.2: Navigating to Creating Cluster

Creating an On-Premise Cluster

  • To create an On-Premise Cluster, you must have an already created and deployed Kubernetes cluster on your on-premise set up. And by selecting the existing On-Premise Cluster, you can deploy the designed solution to that specific on-premise set up.

  • When you deploy a cluster, an email will be triggered to the email address you provided with the access information such as URL, username, password of the products included in the solution and monitoring instance.

  1. Fill in the following information.

    Figure 8.2.3: Creating On-Premise Cluster

    • Cluster Name - The name of the cluster.

    • Canvas Name - Select the Canvas Name from the list. Go to this link to know more about managing Canvas.

    • Environment Type - Select the Environment Type from the list. Staging is used for testing and Production is used for the live production system.

    • Cloud Type - Select On-Premise to create an On-Premise Cluster.

    • Description - Enter the description of the Cluster.

    • Select Deployment Type - Select the required Deployment Type. Currently, only Existing On-Premise Cluster is available.

    • In the Connection Configuration section, upload the Service Kube Config File. This file can be generated from the local On-Premise Cloud. Click here to know more about generating the Service Kube Config File.

  2. Click Deploy to deploy the Cluster.

 

Creating a GCP Cluster

  1. Fill in the following information.

    Figure 8.2.4: Creating GCP Cluster

    • Cluster Name - The name of the cluster.

    • Canvas Name - Select the Canvas Name from the list. Go to this link to know more about managing Canvas.

    • Environment Type - Select the Environment Type from the list. Staging is used for testing and Production is used for the live production system.

    • Cloud Type - Select Public to create a GCP Cluster.

    • Description - Enter the description of the Cluster.

    • Select Deployment Type - Select the required Deployment Type as GCP to create a GCP Cluster.

    • Select the Cluster Configuration Template. Go to this link to create a Cluster Configuration Template.

  2. Scroll down to GCP Connection Configuration, expand it and upload the Service Account file. This file can be generated from the GCP Cloud Account. Go to this link to know more about the GCP Service Account.

    Figure 8.2.5: GCP Connection Configuration

  3. Click Deploy to deploy the Cluster.

 

Creating an AWS Cluster

  1. Fill in the following information.

    Figure 8.2.6: Creating AWS Cluster

    • Cluster Name - The name of the cluster.

    • Canvas Name - Select the Canvas Name from the list. Go to this link to know more about managing Canvas.

    • Environment Type - Select the Environment Type from the list. Staging is used for testing and Production is used for the live production system.

    • Cloud Type - Select Public to create an AWS Cluster.

    • Description - Enter the description of the Cluster.

    • Select Deployment Type - Select the required Deployment Type as AWS to create an AWS Cluster.

    • Select the Cluster Configuration Template. Go to this link to create a Cluster Configuration Template.

  2. Scroll down to AWS Connection Configuration, expand it and enter the Access Key ID and Secret Access Key. The Access Key ID and Secret Access Key can be retrieved from the AWS Cloud Account. Go to this link to know more about the Access Key ID and Secret Access Key.

    Figure 8.2.7: AWS Connection Configuration

  3. Click Deploy to deploy the Cluster.

The below screenshot shows the email received after a cluster with all products successfully deployed.

Figure 8.2.8: Successful Deployment Email after all products of a Cluster

 

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