How to Deploy a Kubernetes App on AWS EKS: Complete Tutorial
By Braincuber Team
Published on March 5, 2026
Running Kubernetes in the cloud is a powerful way to scale and manage containerized applications. But setting up your own Kubernetes control plane? That's 37 hours of configuration, networking, certificate management, and etcd cluster headaches you don't need. Amazon EKS takes care of the heavy lifting — managing the control plane, handling upgrades, installing core components, and offering built-in tools for scaling and high availability. This beginner guide walks you through deploying a containerized app to EKS in 5 steps. By the end, your app is live and accessible via a public LoadBalancer URL. No infrastructure micromanagement required.
What You'll Learn:
- How to install eksctl and kubectl for EKS management
- How to create an EKS cluster with a single command
- How to verify cluster connectivity with kubectl commands
- How to write Kubernetes manifests with Deployments and Services
- How to deploy your app to EKS and monitor pod/service status
- How to access your application via an Elastic Load Balancer
Why EKS Instead of Self-Managed Kubernetes
A Kubernetes cluster consists of machines (nodes) running containerized applications alongside container engines like containerd. Master nodes (control plane) handle scheduling, scaling, and state management. Worker nodes (data plane) run the actual applications. EKS manages the entire control plane for you — upgrades, patching, high availability across multiple Availability Zones, and built-in IAM, private networking, and encryption support.
Managed Control Plane
EKS handles upgrades, patching, and high availability. No more babysitting etcd clusters or managing API server certificates. Focus on your app, not your infrastructure.
Auto-Scaling Infrastructure
Scale your applications and infrastructure as needs evolve. EKS runs across multiple Availability Zones — your app stays available even when an entire data center goes down.
Built-In Security
Native support for IAM roles, private networking, and encryption. Security controls that would take weeks to configure manually come pre-built into the EKS service.
Developer-Friendly Tooling
eksctl creates clusters with a single command. kubectl auto-configures via ~/.kube/config. No manual kubeconfig editing — start interacting with your cluster immediately after creation.
Step by Step: Deploying Your App to EKS
Install eksctl and kubectl
Two tools to install: eksctl (creates and manages EKS clusters) and kubectl (interacts with your cluster, deploys apps, manages Kubernetes resources). Visit the official eksctl docs for OS-specific installation. For kubectl, follow the Kubernetes documentation. After installation, run eksctl version and kubectl version to verify both tools are working. These CLI tools make it easy to set up and work with your cluster directly from the terminal.
Create the EKS Cluster
Run eksctl create cluster --name k8s-example --region eu-west-2 to spin up a production-level cluster. eksctl automatically provisions the VPC, subnets, security groups, IAM roles, and worker nodes. After creation, it updates your ~/.kube/config automatically — you can start using kubectl immediately. Verify the cluster is Active in the AWS console, then test connectivity with kubectl get nodes, kubectl get pods, and kubectl get namespaces.
Write Kubernetes Manifests
Create a YAML file with two resources: a Deployment (specifies replicas, container image, ports, and update strategy) and a Service (makes your application accessible). The Deployment ensures your app runs reliably — you specify how many replicas to run and which container image to use. The Service uses a LoadBalancer type, which tells AWS to provision an Elastic Load Balancer and route traffic from port 80 to your container port.
Deploy the App to EKS
Apply your manifest with kubectl apply -f deployment-example.yaml. Kubernetes creates the pods and services defined in your YAML. Check status with kubectl get pods (shows running replicas), kubectl get svc (shows services and their external IPs), and kubectl get all (overview of all resources). Wait for all pods to show Running status and the service to display an EXTERNAL-IP — this can take 2-3 minutes as AWS provisions the Load Balancer.
Access Your Application
Run kubectl get svc and look for the EXTERNAL-IP column. Copy the IP address or DNS name and paste it into your browser. Your app is now live — accessible from anywhere, load-balanced across your pods, and managed by Kubernetes. If the EXTERNAL-IP shows
# deployment-example.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app-deployment
namespace: default
labels:
app: my-app
spec:
replicas: 5
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: my-container
image: your-dockerhub-user/your-app:latest
ports:
- containerPort: 3000
---
apiVersion: v1
kind: Service
metadata:
name: my-app-service
labels:
app: my-app
spec:
type: LoadBalancer
ports:
- port: 80
targetPort: 3000
selector:
app: my-app
# Quick Reference Commands
eksctl create cluster --name my-cluster --region us-east-1
kubectl apply -f deployment-example.yaml
kubectl get pods
kubectl get svc
kubectl get all
Don't Forget the Cleanup
EKS clusters cost money even when idle. The control plane alone is $0.10/hour ($73/month). Worker nodes add EC2 costs. LoadBalancer services provision real ELBs with hourly charges. When you're done testing, run eksctl delete cluster --name k8s-example --region eu-west-2 to tear down the entire stack. We've seen developers forget this and rack up $430+ in unexpected AWS bills over a weekend.
| Command | Purpose | When to Use |
|---|---|---|
eksctl create cluster | Provisions EKS cluster + VPC + nodes | Initial setup (once) |
kubectl get nodes | Lists all worker nodes | Verify cluster health |
kubectl apply -f | Creates resources from YAML manifest | Deploy or update apps |
kubectl get pods | Shows running pod instances | Monitor deployment status |
kubectl get svc | Shows services + external IPs | Get LoadBalancer URL |
eksctl delete cluster | Tears down entire stack | After testing (avoid $$ bills) |
Frequently Asked Questions
What is Amazon EKS?
Amazon Elastic Kubernetes Service (EKS) is a managed service that lets you run Kubernetes on AWS without needing to set up or maintain your own control plane. AWS handles upgrades, patching, high availability, and core component installation so you can focus on your applications.
What tools do I need to deploy to EKS?
You need three tools: eksctl (to create and manage EKS clusters), kubectl (to interact with your cluster and deploy apps), and Docker (to build and package your app into a container). All three are free and available for Linux, macOS, and Windows.
How much does an EKS cluster cost?
The EKS control plane costs $0.10/hour ($73/month). Worker nodes are billed at standard EC2 rates. LoadBalancer services incur ELB charges. For testing, always delete your cluster when done to avoid unexpected charges — a forgotten cluster can cost $430+ over a weekend.
What is the difference between a Deployment and a Service?
A Deployment ensures your application runs reliably by managing replicas, container images, and update strategies. A Service makes your application accessible — both within the cluster and externally. The LoadBalancer Service type provisions an AWS ELB to route internet traffic to your pods.
How do I delete an EKS cluster to stop charges?
Run eksctl delete cluster --name your-cluster-name --region your-region. This tears down the entire stack including the control plane, worker nodes, VPC, and associated resources. Verify in the AWS console that all resources have been removed, especially any remaining ELBs or EBS volumes.
Struggling with Kubernetes Deployments?
We'll set up your production EKS cluster, configure proper networking and security, write deployment manifests optimized for your workloads, and implement CI/CD pipelines that deploy automatically. Stop fighting infrastructure. Start shipping features.