Azure Arc-enabled data services

The deployment scenarios in this section will guide you through deploying and working with Azure Arc-enabled data services on multiple infrastructure platforms.
Azure Kubernetes Service

If you do not yet have a Kubernetes cluster, the scenarios in this section will guide on creating an AKS cluster with Azure Arc-enabled data services integration in an automated fashion using ARM templates.

Amazon Elastic Kubernetes Service

If you are working in a multi-cloud environment, the scenario in this section will guide on creating an Amazon Elastic Kubernetes Service (EKS) with Azure Arc-enabled data services integration in an automated fashion using Terraform.

Google Kubernetes Engine

If you are working in a multi-cloud environment, the scenario in this section will guide on creating a Google Kubernetes Engine (GKE) with Azure Arc-enabled data services integration in an automated fashion using Terraform.

Kubernetes Cluster API

If you do not yet have a Kubernetes cluster, the scenarios in this section will guide on deploying Azure Arc-enabled data services on Cluster API (CAPI) Kubernetes in an automated fashion using ARM templates.

MicroK8s

If you do not yet have a Kubernetes cluster, the scenarios in this section will guide on deploying Azure Arc-enabled data services on Microk8s in an automated fashion using ARM templates.

Upstream Kubernetes (Kubeadm)

If you do not have a Kubernetes cluster, the scenario in this section will guide on creating a Kubernetes cluster using kubeadm in an Azure VM with Azure Arc-enabled data services integration in an automated fashion using ARM template.

Unified Operations Use Cases

Once you have your Azure Arc-enabled data services deployed, you can start to use native Azure tooling to manage it as well explore various architecture and deployment models.