Kubernetes coordinates a highly available cluster of computers that are connected to work as a single unit. The abstractions in Kubernetes allow you to deploy containerized applications to a cluster without tying them specifically to individual machines.
The effort required to set up a single node cluster is different from running a customized multi-node/zone/multi-cloud HA cluster. When your enterprise is ready to scale up to more machines and higher availability in a short span, Managed Kubernetes platforms is the right choice to create and maintain enterprise clusters.
Here are some of the key advantages of going in for Managed Platforms:
If you’re looking for quickstart on basic understanding of Kubernetes concepts, please refer earlier posts for understanding on Kubernetes & how to create, deploy & rollout updates to the cluster.
With this context now, let us check out a comparison of TOP 3 Managed Kubernetes Platforms.
Google Kubernetes Engine (GKE) | Azure Kubernetes Service (AKS) | Amazon Elastic Container Service for Kubernetes (EKS) | |
Kubernetes conformant | Yes | Yes | Yes |
Kubernetes versions | 1.14 | 1.14 | 1.14 |
Auto Upgrades of Master/Nodes to Kubernetes Versions | Both Automatic/Manual Upgrades are possible | Both Automatic/Manual Upgrades are possible | Not Clear |
Auto Scale | Yes, Cluster autoscaler | Yes, Cluster autoscaler | Yes, Cluster autoscaler |
Auto Repair | Yes | Not Available | Yes |
Built-in dashboard | Yes | No | No |
RBAC | Yes | Yes | Yes |
Security & Compliance | HIPAA and PCI DSS 3.1 compliant. | SOC, ISO, and PCI DSS | Not Available |
Private Container Registry | Yes | Yes, Azure Container Registry support | Yes, Docker registry |
Multi – Region/Zone Deployment | Yes | Partial | Partial |
Integrated Logging & Monitoring | Yes, Stackdriver | Yes, Azure Log Analytics+ Azure Monitor | Yes, AWS CloudTrail |
Docker Image Support | Yes | Yes | Yes |
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