Do we need AWS or Azure to run Kubernetes?

Yes. Kubernetes itself does not provide computing resources. It only orchestrates containers. You need machines (physical or virtual) somewhere to run the Kubernetes cluster.

There are three common ways to run Kubernetes.

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Option 1: Cloud Providers (Most Common)

You rent Virtual Machines (VMs) from cloud providers like:

• Amazon AWS
• Microsoft Azure
• Google Cloud Platform (GCP)
• DigitalOcean
• Oracle Cloud
• Linode

Example on AWS:

AWS
│
├── EC2 VM (Master/Control Plane)
├── EC2 VM (Worker Node)
├── EC2 VM (Worker Node)
└── EC2 VM (Worker Node)

Install Kubernetes on these VMs.

Or, even easier…

Use a managed Kubernetes service like:

• AWS → Amazon Elastic Kubernetes Service (EKS)
• Azure → Azure Kubernetes Service (AKS)
• GCP → Google Kubernetes Engine (GKE)

These services manage much of the control plane for you.

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Option 2: Your Own Servers (On-Premises)

Many large companies don’t use AWS or Azure.

They own their own servers.

Company Data Center

Server 1
Server 2
Server 3
Server 4

Install Kubernetes on these servers.

Examples:

• Banks
• Healthcare companies
• Government organizations
• Large enterprises

No cloud provider is required.

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Option 3: Your Laptop (Learning)

For development and learning, Kubernetes can run locally.

Examples:

• Minikube
• kind
• Docker Desktop

Here, Kubernetes runs inside your own machine.

Laptop

┌──────────────────────┐
│ Docker               │
│                      │
│ Kubernetes Cluster   │
│                      │
└──────────────────────┘

No AWS or Azure is needed.

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How Kubernetes Fits In

Think of Kubernetes like a manager.

           Kubernetes
                │
     ┌──────────┼──────────┐
     ▼          ▼          ▼
 Worker 1   Worker 2   Worker 3

Kubernetes decides:

• Which machine should run a container?
• How many replicas should run?
• When should a failed container restart?
• How should traffic be balanced?

But the worker machines themselves must exist somewhere.

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Example in AWS

Internet
     │
     ▼
AWS Cloud
     │
     ▼
EKS Cluster
     │
 ┌───┴──────────────┐
 │                  │
Worker Node     Worker Node
(EC2 VM)        (EC2 VM)
 │                  │
 │                  │
Pods              Pods
Accounts          Cards
Loans

Here:

• AWS provides the VMs.
• Kubernetes schedules Pods onto those VMs.
• Your applications run inside the Pods.

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Can Kubernetes Create Servers?

Not directly.

Kubernetes cannot create physical machines by itself.

However, in cloud environments it can work with cloud services.

For example, if you configure autoscaling:

Traffic increases
        │
        ▼
Kubernetes needs more capacity
        │
        ▼
Cloud service provisions a new VM
        │
        ▼
New worker node joins the cluster
        │
        ▼
Pods are scheduled on the new node

This automation relies on integration with the cloud provider’s infrastructure, not Kubernetes alone.

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Real-World Enterprise Architecture

                    AWS / Azure / GCP
                           │
        ┌──────────────────┴──────────────────┐
        │                                     │
   Control Plane                        Worker Nodes
   (Managed by EKS/AKS/GKE)        EC2/VMs running Pods
                                           │
                  ┌───────────────┬───────────────┐
                  ▼               ▼               ▼
             Accounts Pod     Cards Pod      Loans Pod

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Interview Answer

Question: Do we need AWS or Azure to run Kubernetes?

Answer:

No. Kubernetes does not require AWS or Azure. It only needs machines to run on. Those machines can be cloud virtual machines (AWS, Azure, GCP, etc.), physical on-premises servers in a data center, or even a local laptop for development. Cloud providers are popular because they offer managed Kubernetes services such as EKS, AKS, and GKE, which simplify cluster management, but Kubernetes itself is cloud-agnostic and can run anywhere you have compute resources.