AKS baseline for multiregion clusters

Azure Kubernetes Service (AKS)
Azure Front Door
Azure Application Gateway
Azure Container Registry
Azure Firewall

This reference architecture details how to run multiple instances of an Azure Kubernetes Service (AKS) cluster across multiple regions in an active/active and highly available configuration.

This architecture builds on the AKS baseline architecture, Microsoft's recommended starting point for AKS infrastructure. The AKS baseline details infrastructural features like Microsoft Entra Workload ID, ingress and egress restrictions, resource limits, and other secure AKS infrastructure configurations. These infrastructural details aren't covered in this document. It's recommended that you become familiar with the AKS baseline before proceeding with the multi-region content.


Architecture diagram showing multi-region deployment.

Download a Visio file of this architecture.

GitHub logo A reference implementation of this architecture is available on GitHub.


Many components and Azure services are used in the multi-region AKS reference architecture. Only those components with uniqueness to this multi-cluster architecture are listed below. For the remaining, reference the AKS Baseline architecture.

  • Multiple clusters / multiple regions Multiple AKS clusters are deployed, each in a separate Azure region. During normal operations, network traffic is routed between all regions. If one region becomes unavailable, traffic is routed to a region closest to the user who issued the request.
  • hub-spoke network per region A regional hub-spoke network pair are deployed for each regional AKS instance. Azure Firewall Manager policies are used to manage firewall policies across all regions.
  • Regional key store Azure Key Vault is provisioned in each region for storing sensitive values and keys specific to the AKS instance and supporting services found in that region.
  • Azure Front Door Azure Front door is used to load balance and route traffic to a regional Azure Application Gateway instance, which sits in front of each AKS cluster. Azure Front Door allows for layer seven global routing, both of which are required for this reference architecture.
  • Log Analytics Regional Log Analytics instances are used for storing regional networking metrics and diagnostic logs. Additionally, a shared Log Analytics instance is used to store metrics and diagnostic logs for all AKS instances.
  • Container registry The container images for the workload are stored in a managed container registry. In this architecture, a single Azure Container Registry is used for all Kubernetes instances in the cluster. Geo-replication for Azure Container Registry enables replicating images to the selected Azure regions and providing continued access to images even if a region is experiencing an outage.

Design patterns

This reference architecture uses two cloud design patterns. Geographical Node (geodes), where any region can service any request, and Deployment Stamps where multiple independent copies of an application or application component are deployed from a single source (deployment template).

Geographical Node pattern considerations

When selecting regions to deploy each AKS cluster, consider regions close to the workload consumer or your customers. Also, consider utilizing cross-region replication. Cross-region replication asynchronously replicates the same applications and data across other Azure regions for disaster recovery protection. As your cluster scales beyond two regions, continue to plan for cross-region replication for each pair of AKS clusters.

Within each region, nodes in the AKS node pools are spread across multiple availability zones to help prevent issues due to zonal failures. Availability zones are supported in a limited set of regions, which influences regional cluster placement. For more information on AKS and availability zones, including a list of supported regions, see AKS availability zones.

Deployment stamp considerations

When managing a multi-region AKS cluster, multiple AKS instances are deployed across multiple regions. Each one of these instances is considered a stamp. In the event of a regional failure or the need to add more capacity and / or regional presence for your cluster, you might need to create a new stamp instance. When selecting a process for creating and managing deployment stamps, it's important to consider the following things:

  • Select the appropriate technology for stamp definitions that allows for generalized configuration such as infrastructure as code
  • Provide instance-specific values using a deployment input mechanism such as variables or parameter files
  • Select deployment tooling that allows for flexible, repeatable, and idempotent deployment
  • In an active/active stamp configuration, consider how traffic is balanced across each stamp
  • As stamps are added and removed from the collection, consider capacity and cost concerns
  • Consider how to gain visibility and/or monitor the collection of stamps as a single unit.

Each of these items is detailed with specific guidance in the following sections of this reference architecture.

Fleet management

This solution represents a multi-cluster and multi-region topology, without the inclusion of an advanced orchestrator to treat all clusters as part of a unified fleet. When cluster count increases, consider enrolling the members in Azure Kubernetes Fleet Manager for better at-scale management of the participating clusters. The infrastructure architecture presented here doesn't fundamentally change with the enrollment into Fleet Manager, but day-2 operations and similar activities benefits from a control plane that can target multiple clusters simultaneously.


These considerations implement the pillars of the Azure Well-Architected Framework, which is a set of guiding tenets that can be used to improve the quality of a workload. For more information, see Microsoft Azure Well-Architected Framework.

Cluster deployment and bootstrapping

When deploying multiple Kubernetes clusters in highly available and geographically distributed configurations, it's essential to consider the sum of each Kubernetes cluster as a coupled unit. You might want to develop code-driven strategies for automated deployment and configuration to ensure that each Kubernetes instance is as identical as possible. You'll want to consider strategies for scaling out and in, by adding or removing other Kubernetes instances. You'll want your design, and deployment and configuration plan, to account for regional failures or other common scenarios.

Cluster definition

You have many options for deploying an Azure Kubernetes Service cluster. The Azure portal, the Azure CLI, and Azure PowerShell module are all decent options for deploying individual or non-coupled AKS clusters. These methods however, can present challenges when working with many tightly coupled AKS clusters. For example, using the Azure portal opens the opportunity for miss-configuration due to missed steps or unavailable configuration options. As well, the deployment and configuration of many clusters using the portal is a timely process requiring the focus of one or more engineers. You can construct a repeatable and automated process using the command-line tools. However, the responsibility of idempotency, deployment failure control, and failure recovery is on you and the scripts you build.

When working with many AKS instances, we recommend considering infrastructure as code solutions, such and Azure Resource Manager templates, Bicep templates, or Terraform configurations. Infrastructure as code solutions provide an automated, scalable, and idempotent deployment solution. This reference architecture includes an ARM Template for the solutions shared services and then another for the AKS clusters + regional services. If you use infrastructure as code, a deployment stamp can be defined with generalized configurations such as networking, authorization, and diagnostics. A deployment parameter file can be provided with regional-specific values. With this configuration, a single template can be used to deploy an almost identical stamp across any region.

The cost of developing and maintaining infrastructure as code assets can be costly. In some cases, such as when a static / fixed number of AKS instances are deployed, the overhead of infrastructure as code might outweigh the benefits. For these cases, using a more imperative approach, such as with command-line tools, or even a manual approach, are ok.

Cluster deployment

Once the cluster stamp definition has been defined, you have many options for deploying individual or multiple stamp instances. Our recommendation is to use modern continuous integration technology such as GitHub Actions or Azure Pipelines. The benefits of continuous integration-based deployment solutions include:

  • Code-based deployments that allow for stamps to be added and removed using code
  • Integrated testing capabilities
  • Integrated environment and staging capabilities
  • Integrated secrets management solutions
  • Integration with code / deployment source control
  • Deployment history and logging

As new stamps are added or removed from the global cluster, the deployment pipeline needs to be updated to stay consistent. In the reference implementation, each region is deployed as an individual step within a GitHub Action workflow (example). This configuration is simple in that each cluster instance is clearly defined within the deployment pipeline. This configuration does include some administrative overhead in adding and removing clusters from the deployment.

Another option would be to utilize logic to create clusters based on a list of desired locations or other indicating data points. For instance, the deployment pipeline could contain a list of desired regions; a step within the pipeline could then loop through this list, deploying a cluster into each region found in the list. The disadvantage to this configuration is the complexity in deployment generalization and that each cluster stamp isn't explicitly detailed in the deployment pipeline. The positive benefit is that adding or removing cluster stamps from the pipeline becomes a simple update to the list of desired regions.

Also, removing a cluster stamp from the deployment pipeline doesn't necessarily ensure that it's also decommissioned. Depending on your deployment solution and configuration, you might need an extra step to ensure that the AKS instances have appropriately been decommissioned.

Cluster bootstrapping

Once each Kubernetes instance or stamp has been deployed, cluster components such as ingress controllers, identity solutions, and workload components need to be deployed and configured. You'll also need to consider applying security, access, and governance policies across the cluster.

Similar to deployment, these configurations can become challenging to manage across several Kubernetes instances manually. Instead, consider the following options for configuration and policy at scale.


Instead of manually configuring Kubernetes components, consider using automated methods to apply configurations to a Kubernetes cluster, as these configurations are checked into a source repository. This process is often referred to as GitOps, and popular GitOps solutions for Kubernetes include Flux and Argo CD. This implementation uses the Flux extension for AKS to enable bootstrapping the clusters automatically and immediately after the clusters are deployed.

GitOps is detailed in more depth in the AKS baseline reference architecture. The important point here is that using a GitOps based approach to configuration helps ensure that each Kubernetes instance is configured similarly without bespoke effort. This becomes even more important as the size of your fleet grows.

Azure Policy

As multiple Kubernetes instances are added, the benefit of policy-driven governance, compliance, and configuration increases. Utilizing policies, Azure Policy specifically, provides a centralized and scalable method for cluster control. The benefit of AKS policies is detailed in the AKS baseline reference architecture.

Azure Policy is enabled in this reference implementation when the AKS clusters are created and assigns the restrictive initiative in Audit mode to gain visibility into non-compliance. The implementation also sets more policies that aren't part of any built-in initiatives. Those policies are set in Deny mode. For example, there is a policy in place to ensure that only approved container images are run in the cluster. Consider creating your own custom initiatives. Combine the policies that are applicable for your workload into a single assignment.

Policy scope refers to the target of each policy and policy initiative. The reference implementation associated with this architecture uses an ARM template to assign policies to the resource group into which each AKS cluster is deployed. As the footprint of the global cluster grows, it results in many duplicate policies. You can also scope policies to an Azure subscription or Azure management group. This method allows you to apply a single set of policies to all the AKS clusters within the scope of a subscription, and/or all the subscriptions found under a management group.

When designing policy for multiple AKS clusters, consider the following items:

  • Policies that should apply globally to all AKS instances can be applied to a management group or subscription
  • Placing each regional cluster in its own resource group allows for region-specific policies applied to the resource group

See Cloud Adoption Framework resource organization for materials that will help you establish a policy management strategy.

Workload deployment

In addition to AKS instance configuration, consider the workload deployed into each regional instance or stamp. Deployment solutions or pipelines will require configuration to accommodate each regional stamp. As more stamps are added to the global cluster, the deployment process needs to be extended, or flexible enough to accommodate the new regional instances.

Consider the following items when planning for workload deployment.

  • Generalize the deployment, such as with a Helm chart, to ensure that a single deployment configuration can be used across multiple cluster stamps.
  • Use a single continuous deployment pipeline configured to deploy the workload across all cluster stamps.
  • Provide stamp-specific instance details as deployment parameters.
  • Consider how application diagnostic logging and distributed tracing are configured for application-wide observability.

Availability and failover

A significant motivation for choosing a multi-region Kubernetes architecture is service availability. That is, if a service or service component becomes unavailable in one region, traffic should be routed to a region where that service is available. A multi-region architecture includes many different failure points. In this section, each of these potential failure points is discussed.

Application Pods (regional)

A Kubernetes deployment object is used to create multiple replicas of a pod (ReplicaSet). If one is unavailable, traffic is routed between the remaining. The Kubernetes ReplicaSet attempts to keep the specified number of replicas up and running. If one instance goes down, a new instance should be re-created. Finally, liveness probes can be used to check the state of the application or process running in the pod. If the service is unresponsive, the liveness probe will remove the pod, which forces the ReplicaSet to create a new instance.

For more information, see Kubernetes ReplicaSet.

Application Pods (global)

When an entire region becomes unavailable, the pods in the cluster are no longer available to serve requests. In this case, the Azure Front Door instance routes all traffic to the remaining healthy regions. The Kubernetes clusters and pods in these regions will continue to serve requests.

Take care in this situation to compensate for increased traffic / requests to the remaining cluster. A few things to consider:

  • Ensure that network and compute resources are right-sized to absorb any sudden increase in traffic due to region failover. For example, when using Azure CNI, make sure you have a subnet that can support all Pod IPs with a spiked traffic load.
  • Utilize Horizontal Pod Autoscaler to increase the pod replica count to compensate for the increased regional demand.
  • Utilize AKS Cluster Autoscaler to increase the Kubernetes instance node counts to compensate for the increased regional demand.

For more information, see Horizontal Pod Autoscaler and AKS cluster autoscaler.

Kubernetes node pools (regional)

Occasionally localized failure can occur to compute resources, for instance, if power becomes unavailable to a single rack of Azure servers. To protect your AKS nodes from becoming a single point regional failure, utilize Azure Availability zones. Using availability zones ensures that AKS nodes in a given availability zone are physically separated from those defined in another availability zone.

For more information, see AKS and Azure availability zones.

Kubernetes node pools (global)

In a complete regional failure, Azure Front Door will route traffic to the remaining and healthy regions. Again, take care in this situation to compensate for increased traffic / requests to the remaining cluster.

For more information, see Azure Front Door.

Network topology

Similar to the AKS baseline reference architecture, this architecture uses a hub-spoke network topology. In addition to the considerations specified in the AKS baseline reference architecture, consider the following best practices:

  • Implement a hub-spoke for each regional AKS instance, where the hub-spoke virtual networks are peered.
  • Route all outbound traffic through an Azure Firewall instance found in each regional hub network. Utilize Azure Firewall Manager policies to manage firewall policies across all regions.
  • Follow the IP sizing found in the AKS baseline reference architecture, and allow for more IP addresses for both node and pod scale operations, if you experience a regional failure.

Traffic management

With the AKS baseline reference architecture, workload traffic is routed directly to an Azure Application Gateway instance, then forwarded onto the backend load balancer / AKS ingress resources. When you work with multiple clusters, the client requests are routed through an Azure Front Door instance, which routes to the Azure Application Gateway instance.

Architecture diagram showing workload traffic in multi-region deployment.

Download a Visio file of this diagram.

  1. The user sends a request to a domain name (such as https://contoso-web.azurefd.net), which is resolved to the Azure Front Door instance. This request is encrypted with a wildcard certificate (*.azurefd.net) issued for all subdomains of Azure Front Door. The Azure Front Door instance validates the request against WAF policies, selects the fastest backend (based on health and latency), and uses public DNS to resolve the backend IP address (Azure Application Gateway instance).

  2. Front Door forwards the request to the selected appropriate Application Gateway instance, which serves as the entry point for the regional stamp. The traffic flows over the internet and is encrypted by Azure Front Door. Consider a method to ensure that the Application Gateway instance only accepts traffic from the Front Door instance. One approach is to use a Network Security Group on the subnet that contains the Application Gateway. The rules can filter inbound (or outbound) traffic based on properties such as Source, Port, Destination. The Source property allows you to set a built-in service tag that indicates IP addresses for an Azure resource. This abstraction makes it easier to configure and maintain the rule and keep track of IP addresses. Additionally, consider utilizing the Front Door to backend X-Azure-FDID header to ensure that the Application Gateway instance only accepts traffic from the Front Door instance. For more information on Front Door headers, see Protocol support for HTTP headers in Azure Front Door.

Shared resource considerations

While the focus of this reference architecture is on having multiple Kubernetes instances spread across multiple Azure regions, it does make sense to have some shared resources across all instances. The AKS multi-region reference implementation using a single ARM template to deploy all shared resources and then another to deploy each regional stamp. This section details each of these shared resources and considerations for using each across multiple AKS instances.

Container Registry

Azure Container Registry is used in this reference architecture to provide container image services (pull). Consider the following items when working with Azure Container Registry in a multi-region cluster deployment.

Geographic availability

Positioning a container registry in each region in which an AKS cluster is deployed allows for network-close operations, enabling fast, reliable image layer transfers. Have multiple image service endpoints to provide availability when regional services are unavailable. Using Azure Container Registries geo-replication functionality allows you to manage one Container Registry instance replicated to multiple regions.

The AKS multi-region reference implementation created a single Container Registry instance and replicas of this instance into each cluster region. For more information on Azure Container Registry replication, see Geo-replication in Azure Container Registry.

Image showing multiple ACR replicas from within the Azure portal.

Image showing multiple ACR replicas from within the Azure portal.

Cluster Access

Each AKS instance requires access for pulling image layers from the Azure Container Registry. There are multiple ways for establishing access to Azure Container Registry; this reference architecture uses an Azure Managed Identity for each cluster, which is then granted the AcrPull role on the Container Registry instance. For more information and recommendations on using Managed Identities for Container Registry access, see the AKS baseline reference architecture.

This configuration is defined in the cluster stamp ARM template so that each time a new stamp is deployed, the new AKS instance is granted access. Because the Container Registry is a shared resource, ensure that your deployment stamp template can consume and use the necessary details, in this case, the resource ID of the Container Registry.

Azure Monitor

The Azure Monitor Container insights feature is the recommended tool to monitor and understand the performance and health of your cluster and container workloads. Container insights utilizes both a Log Analytics workspace for storing log data, and Azure Monitor Metrics to store numeric time-series data. Prometheus metrics can also be collected by Container Insights and send the data to either Azure Monitor managed service for Prometheus or Azure Monitor Logs.

You can also configure your AKS cluster diagnostic settings to collect and analyze resource logs from the AKS control plane components and forward to a Log Analytics workspace.

AKS For more information, see the AKS baseline reference architecture.

When considering monitoring for a cross-region implementation such as this reference architecture, it's important to consider the coupling between each stamp. In this case, consider each stamp a component of a single unit (regional cluster). The multi-region AKS reference implementation utilizes a single Log Analytics workspace, shared by each Kubernetes cluster. Like with the other shared resources, define your regional stamp to consume information about the single Log Analytics workspace and connect each cluster to it.

Now that each regional cluster is emitting diagnostic logs to a single Log Analytics workspace, this data, along with resource metrics, can be used to more easily build reports and dashboards that represent the entirety of the global cluster.

Azure Front Door

Azure Front door is used to load balance and route traffic to each AKS cluster. Azure Front Door allows for layer seven global routing, both of which are required for this reference architecture.

Cluster configuration

As regional AKS instances are added, the Application Gateway deployed alongside the Kubernetes cluster needs to be enrolled as a Front Door backend for proper routing. This operation requires an update to your infrastructure as code assets. Alternatively, this operation can be decoupled from the deployment configuration and managed with tools such as the Azure CLI. The included reference implementations deployment pipeline utilizes a distinct Azure CLI step for this operation.


Front Door doesn't support self-signed certificates even in Dev/Test environments. To enable HTTPS traffic, you need to create your TLS/SSL certificate signed by a certificate authority (CA). The reference implementation uses Certbot to create a Let's Encrypt Authority X3 certificate. When planning for a production cluster, use your organization's preferred method for procuring TLS certificates.

For information about other CAs that Front Door supports, see Allowed certificate authorities for enabling custom HTTPS on Azure Front Door.

Cluster access and identity

As discussed in the AKS baseline reference architecture, it's recommended to use Microsoft Entra ID as the clusters' access identity provider. The Microsoft Entra groups can then be used to control access to cluster resources.

When you manage multiple clusters, you'll need to decide on an access schema. Options include:

  • Create a global cluster-wide access-group where members can access all objects across every Kubernetes instance in the cluster. This option provides minimal administration needs; however, it grants significant privilege to any group member.
  • Create an individual access group for each Kubernetes instance that's used to grant access to objects in an individual cluster instance. With this option, the administrative overhead does increase; however, it also provides more granular cluster access.
  • Define granular access controls for Kubernetes object types and namespaces, and correlate the results to an Azure Directory Group structure. With this option, the administrative overhead increases significantly; however, it provides granular access to not only each cluster but the namespaces and Kubernetes APIS found within each cluster.

With the included reference implementation, two Microsoft Entra groups are created for admin access. These groups are specified at cluster stamp deployment time using the deployment parameter file. Members of each group have full access to the corresponding cluster stamp.

For more information on managing AKS cluster access with Microsoft Entra ID, see AKS Microsoft Entra integration.

Data, state, and cache

When using a globally distributed cluster of AKS instances, consider the architecture of the application, process, or other workloads that might run across the cluster. As state-based workload is spread across the cluster, will it need to access a state store? If a process is recreated elsewhere in the cluster due to failure, will the workload or process continue to have access to a dependent state store or caching solution? State can be achieved in many ways; however, it can be complex in a single Kubernetes cluster. The complexity increases when adding in multiple clustered Kubernetes instances. Due to regional access and complexity concerns, consider designing your applications to use a globally distributed state store service.

The multi-cluster reference implementation doesn't include a demonstration or configuration for state concerns. If you run applications across clustered AKS instances, consider architecting your workload to use a globally distributed data service, such as Azure Cosmos DB. Azure Cosmos DB is a globally distributed database system that allows you to read and write data from the local replicas of your database. For more information, see Azure Cosmos DB.

If your workload utilizes a caching solution, ensure that it's architected so that caching services remain functional. To do so, ensure the workload itself is resilient to cache-related failover, and that the caching solutions are present on all regional AKS instances.

Cost optimization

Use the Azure pricing calculator to estimate costs for the services used in the architecture. Other best practices are described in the Cost Optimization section in Microsoft Azure Well-Architected Framework, and specific cost-optimization configuration options in the Optimize costs article.

Consider enabling AKS cost analysis for granular cluster infrastructure cost allocation by Kubernetes specific constructs.

Next steps