Reviewed 2026-10-04 · Container platforms

Amazon EKSvsAzure Kubernetes Service

A decision guide for teams choosing an operating model—not a feature-count contest. Validate current limits and pricing in the linked product documentation before committing.

01 / Short answer

Choose for the constraint you cannot ignore.

Amazon EKS: AWS teams that need Kubernetes APIs and ecosystem portability.

Azure Kubernetes Service: Azure teams needing direct Kubernetes control and Azure platform integration.

02 / Decision matrix

The operating differences.

CriterionAmazon EKSAzure Kubernetes Service
Operating modelManaged Kubernetes control plane integrated with AWS identity, networking and compute.Managed Kubernetes integrated with Azure networking, Entra ID and policy services.
Best fitAWS teams that need Kubernetes APIs and ecosystem portability.Azure teams needing direct Kubernetes control and Azure platform integration.
Main trade-offNode, add-on, upgrade and workload policy remain operating responsibilities.Cluster and Azure control-plane decisions cross several ownership boundaries.
Pricing basisCluster and underlying AWS resourcesCluster and Azure infrastructure resources
Portability lensMost value comes from its own platform integration; price migration explicitly.Most value comes from its own platform integration; price migration explicitly.

03 / Selection test

Run a proof of operation, not a polished demo.

The test should include deployment, identity, telemetry, failure recovery and one real policy requirement. A happy-path deployment cannot expose day-two cost.

  1. 01
    Abstraction level

    Test this with one representative workload and record the operational owner, failure path and exit cost.

  2. 02
    Kubernetes API

    Test this with one representative workload and record the operational owner, failure path and exit cost.

  3. 03
    Scaling model

    Test this with one representative workload and record the operational owner, failure path and exit cost.

  4. 04
    Network control

    Test this with one representative workload and record the operational owner, failure path and exit cost.

  5. 05
    Operational load

    Test this with one representative workload and record the operational owner, failure path and exit cost.

Choose Amazon EKS when

AWS teams that need Kubernetes APIs and ecosystem portability.

Node, add-on, upgrade and workload policy remain operating responsibilities.

Choose Azure Kubernetes Service when

Azure teams needing direct Kubernetes control and Azure platform integration.

Cluster and Azure control-plane decisions cross several ownership boundaries.

Use both only when

The responsibility boundary is explicit.

Name which system owns identity, deployment, policy, telemetry and recovery. If both appear to own the same decision, simplify.

04 / Due diligence

Verify before signing or migrating.

  • Current regional availability, limits and deprecation policy.
  • Total cost at expected usage, including data, support and operations.
  • Identity, audit-log and private-network requirements.
  • Backup, export and exit path for configuration and data.
  • Skills required for upgrades, incidents and policy exceptions.

Need the decision tested in your environment?

Gritt can run the proof of concept, map the security boundary and cost the operating model.

Compare with your workload →