Applies to: 
Kyvos Enterprise 
Kyvos Cloud (SaaS on AWS) Kyvos AWS Marketplace
Kyvos Azure Marketplace Kyvos GCP Marketplace Kyvos Single Node Installation (Kyvos SNI)
You can deploy Kyvos clusters on Azure using any of the following methods.
Automated deployment: In this method, the Kyvos Manager allows you to download a template, which, when executed on the Azure portal, creates the resources required for cluster creation and deployment. After the creation of these resources, you can continue with deployment through the Azure portal. Kyvos also supports Automated Kyvos deployment with CDP on Azure .
Wizard-based deployment: In this method, the Kyvos Manager allows you to use a wizard that will help to deploy a cluster using any of the following options.
Cluster deployment using resources that are part of the Stack that was created by downloading a template from Kyvos Manager
Cluster deployment using resources that are created by the user without any stack
Regardless of which option you select, if you do not have permission to fetch resources from the cloud environment, you will need to manually enter the information related to resources (like the IP of instances and the name of the bucket). Resources are created by any of the means like Azure console, CLI, REST, or SDK.
Note
Before starting the installation and deployment, please ensure that you have all the prerequisites available.
Also, download the Azure Installation Files folder and keep all the requisite files handy during deployment.
Important
Once you have completed the deployment, provide permissions for usage dashboard.
Tips
In an Azure-based deployment, you can provide a mechanism to configure the database name for tables used in the semantic model Query Analyzer feature. It appends "CLUSTER_NAME" to the default DB name in an Azure-based deployment. "CLUSTER_NAME" is defined in the olapengine.properties file and is unique for each Kyvos deployment.
Post-deployment, you can add a new data disk on Query Engines. See the Resources Configuration section for more details.
You can also add new nodes to an existing Azure cluster to add more instances for Query Engines and BI Servers.