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• AWS: You can use no Spark model processing to deploy Kyvos through Query Engine.

• Azure: For Kubernetes, Kyvos processes the semantic model using Azure’s managed service AKS (Azure Kubernetes Service). The Azure cluster is deployed via ARM templates. You can create a cluster without Spark or process the semantic model utilizing Spark Mode within ARM templates.

  • Prerequisites to deploy Kyvos using Kubernetes

  • Creating ARM Template for Automated Azure Deployment

• GCP: For Kubernetes, Kyvos processes the semantic model using Google Cloud's managed service GKE (Google Kubernetes Engine). The GKE cluster is deployed through Google Deployment Manager scripts. Using the scripts, you can select a No-Spark-based cluster or process the semantic model using Spark Mode. Currently, to proceed with a no-spark-based deployment mode, you must use a Dataproc cluster (either new or existing).
  For more details about how to deploy Kyvos on GCP using the no-Spark model, see the following section:

  • Prerequisites to deploy Kyvos using Kubernetes

  • Creating Kyvos Resources for GCP using Script

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