When to use AKS

The following list describes some of the common use cases for AKS, but by no means is an exhaustive list:

  • Lift and shift to containers with AKS: Migrate existing applications to containers and run them in a fully managed Kubernetes environment.
  • Microservices with AKS: Simplify the deployment and management of microservices-based applications with streamlined horizontal scaling, self-healing, load balancing, and secret management.
  • Secure DevOps for AKS: Efficiently balance speed and security by implementing secure DevOps with Kubernetes.
  • Bursting from AKS with ACI: Use virtual nodes to provision pods inside ACI that start in seconds and scale to meet demand.
  • Machine learning model training with AKS: Train models using large datasets with familiar tools, such as TensorFlow and Kubeflow.
  • Data streaming with AKS: Ingest and process real-time data streams with millions of data points collected via sensors, and perform fast analyses and computations to develop insights into complex scenarios.
  • Using Windows containers on AKS: Run Windows Server containers on AKS to modernize your Windows applications and infrastructure.

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