Kubernetes as a Service (KaaS) is a managed control plane from a cloud provider - the team manages workloads, the provider manages the control plane (etcd, API server, scheduler, controller-manager). The big three are GKE (Google), EKS (AWS), AKS (Azure). GKE is the most managed (auto-upgrades, auto-repair), EKS is the most AWS-native (deep IAM integration), AKS is the Azure-native option. The team that picks based on cloud-of-residence and workload requirements has the right answer.
Table of contents
- What KaaS actually does
- GKE: the most-managed option
- EKS: the AWS-native option
- AKS: the Azure-native option
- Smaller KaaS providers
- FAQ
What KaaS actually does
A managed Kubernetes service runs the control plane for you. The provider handles:
- API server, etcd, scheduler, controller-manager.
- Patches and upgrades of those components.
- High availability (multi-AZ or multi-region).
- Backups and disaster recovery.
The customer runs:
- Worker nodes (managed node groups, or self-managed on EKS).
- Workloads (pods, deployments, services).
- Ingress and load balancers (with provider integration).
- Most operators and add-ons (some providers offer managed versions).
The team that picks KaaS vs self-managed (kubeadm, k3s) trades control for operational relief. The team that needs full control of the control plane (custom CNI, specific etcd configuration) self-manages.
GKE: the most-managed option
Google Kubernetes Engine is the original managed K8s service (GA since 2015).
Strengths:
- Autopilot mode (the provider manages nodes too - true serverless K8s).
- Auto-upgrades and auto-repair on by default.
- Best-in-class networking (VPC-native, native load balancers).
- Anthos for hybrid/multi-cloud.
Weaknesses:
- Pricing can be confusing (cluster fee + node cost).
- Google Cloud only.
The team that wants the most-managed K8s experience picks GKE. Autopilot mode is the closest thing to ‘just run my workloads’ that K8s has.
EKS: the AWS-native option
Amazon Elastic Kubernetes Service.
Strengths:
- Deep AWS integration (IAM, VPC, ALB, EBS, EFS, Secrets Manager).
- Fargate for serverless nodes (no EC2 to manage).
- IRSA (IAM Roles for Service Accounts) for fine-grained pod-level AWS permissions.
- Add-ons for most AWS services.
Weaknesses:
- Auto-upgrades are opt-in (the team that forgets has unpatched clusters).
- Worker nodes default to EC2 (managed node groups or self-managed).
- Kubernetes version support lags slightly behind upstream.
The team that is all-in on AWS picks EKS. The IRSA model is the cleanest pod-to-cloud-IAM bridge in any KaaS.
AKS: the Azure-native option
Azure Kubernetes Service.
Strengths:
- Free control plane (no per-cluster fee like EKS and GKE).
- Deep Azure integration (AKS-managed Entra ID, Azure CNI, Azure Disk/File).
- Azure Arc for hybrid scenarios.
Weaknesses:
- Smaller ecosystem than EKS/GKE.
- Some features lag behind (e.g., managed Prometheus is newer).
The team that runs on Azure picks AKS. The free control plane is a real cost advantage at scale.
Smaller KaaS providers
- DigitalOcean Kubernetes (DOKS): Free control plane, simple UI, good for small teams.
- Linode Kubernetes Engine (LKE): Free control plane, simple API.
- Vultr Kubernetes Engine: Free control plane, hourly billing.
- Civo Kubernetes: Free control plane, very fast cluster creation.
- Scaleway Kapsule: European cloud, free control plane.
- Rancher (self-hosted): Manages K8s clusters across providers.
The team that wants a simple, predictable K8s experience without cloud lock-in picks one of these. The team that needs deep cloud integration picks the matching hyperscaler KaaS.
FAQ
Is Kubernetes as a Service the same as managed Kubernetes?
Yes - the terms are interchangeable. KaaS is the older marketing term, managed Kubernetes is what most providers use now.
Do I still need to know Kubernetes to use KaaS?
Yes. KaaS manages the control plane, not your workloads. The team that uses KaaS without K8s knowledge is going to struggle with deployments, services, ingress, and debugging.
What does KaaS cost compared to self-managed?
Control plane fee (EKS ~$0.10/hr, GKE Standard ~$0.10/hr, AKS free) plus node cost. The team that does the math on total cost (control plane + nodes + ops time) usually finds KaaS cheaper than self-managed at small scale, similar at large scale.
Can I run KaaS in multiple regions?
Yes. All major KaaS providers support multi-region clusters (or federation across single-region clusters). The team that has a global user base uses multi-region for latency and DR.
What is the difference between managed control plane and managed nodes?
Managed control plane = provider runs etcd/API/scheduler. Managed nodes = provider also runs the worker nodes (Fargate, Autopilot). The team that picks Autopilot/Fargate trades per-pod pricing for less control over the node OS.
If you are sizing the infrastructure for the kind of project this post covers, the RunxBuild hosting calculator is the right place to model the line items. The compute, the memory, the storage, the bandwidth, the database - each one is a separate number, and the team’s mental model for the platform is the sum of those numbers. The RunxBuild dashboard is where the team sees the actual usage in one place.
Useful related references: