Azure Kubernetes Service

Azure Kubernetes Service (AKS) offloads the operational overhead of running Kubernetes to Azure. When a cluster is created, Azure provisions and manages the control plane automatically, at no charge — the layer responsible for scheduling, health monitoring, and coordinating the worker nodes that actually run an application's containers. Billing only applies to those worker nodes, not the control plane sitting above them. AKS is CNCF-certified and compliant with SOC, ISO, PCI DSS, and HIPAA, which matters for regulated workloads that need that certification trail before containers can go into production.

AKS offers two ways to run a cluster. AKS Automatic is the fully managed option: Azure provisions and scales nodes on demand, security defaults are on out of the box — Microsoft Entra ID-based RBAC, Workload Identity, an OIDC issuer, deployment safeguards, automatic image cleanup — and monitoring (managed Prometheus, Container Insights, Grafana dashboards) is preconfigured rather than something to wire up manually. It also comes with a financially backed SLA guaranteeing 99.9% of qualifying pods are ready within five minutes. AKS Standard trades that hands-off default for full control over node pools and cluster configuration — the right choice when an application needs custom networking, Windows Server node pools, specific VM SKUs Automatic doesn't yet support, or has to fit into infrastructure automation that already exists.

In practice, AKS is where an application lands once it's built (or being rebuilt) as a set of independently deployable services rather than one monolith — microservices architectures that need horizontal scaling, self-healing, and load balancing per service, secure DevOps pipelines that deploy into the cluster continuously, workloads that burst to Azure Container Instances through virtual nodes rather than staying permanently over-provisioned, and machine learning training jobs run with familiar tooling like TensorFlow or Kubeflow.

How AzureForge AI uses Azure Kubernetes Service

When a client's application is, or is becoming, a set of independently deployable services rather than a single deployable unit, we run it on AKS instead of App Service. We typically start on AKS Automatic for the built-in security and monitoring defaults, moving to Standard mode only when a client's networking requirements or existing infrastructure automation actually call for that level of manual control — and we wire the cluster into the same Azure stack already running for that client, whether that's Cosmos DB or Azure SQL Database for state, or an Azure DevOps pipeline driving continuous deployment into the cluster.