Azure Kubernetes Service (AKS) vs. Azure Red Hat OpenShift (ARO)

Azure Kubernetes Service (AKS)

  • Overview:
  • Fully managed Kubernetes service by Azure for deploying, managing, and scaling containerized applications using Kubernetes.
  • Provides serverless Kubernetes, integrated continuous integration and continuous deployment (CI/CD), and enterprise-grade security and governance.
  • Features:
  • Ease of Use: Seamless cluster creation and scaling.
  • Resource Optimization: Automated scaling and self-healing capabilities.
  • Integrations: Seamless integration with Azure DevOps, monitoring, and security tools.
  • Multi-Region Availability: Supports multi-region availability zones.

Azure Red Hat OpenShift (ARO)

  • Overview:
  • Enterprise-ready Kubernetes container platform jointly managed by Microsoft and Red Hat, offering a fully managed OpenShift service on Azure.
  • Leverages Red Hat Enterprise Linux and OpenShift Container Platform for hybrid cloud deployments.
  • Features:
  • Developer Productivity: Streamlined developer workflows with built-in CI/CD.
  • Security and Compliance: Enterprise-level security and compliance features.
  • Service Mesh Integration: Built-in Istio service mesh for microservices.
  • OpenShift Ecosystem: Access to Red Hat’s rich ecosystem and support.

Key Differences:

  • Managed Services: AKS is a fully managed Azure Kubernetes offering, while ARO is a managed OpenShift service provided jointly by Microsoft and Red Hat.
  • Development Focus: AKS caters to developers working with Kubernetes, while ARO provides an enterprise-focused environment suitable for large-scale deployments.
  • Ecosystem Integration: ARO benefits from Red Hat’s ecosystem, while AKS seamlessly integrates with Azure services.

Conclusion:

Both AKS and ARO are robust solutions for managing containerized applications. AKS, being a pure Kubernetes offering, suits developers familiar with Kubernetes. On the other hand, ARO provides a broader enterprise platform with Red Hat’s influence, ideal for complex deployments.