AWS, DevOps, Kubernetes

2 Mins Read

Deploying MicroK8s on AWS: A Step-by-Step Guide

Voiced by Amazon Polly


In today’s cloud-native world, Kubernetes has become the go-to platform for container orchestration. MicroK8s, a lightweight Kubernetes distribution by Canonical, simplifies Kubernetes deployment and management. This blog will guide you through deploying MicroK8s on AWS, ensuring you have a scalable and robust environment for your applications.


  • An AWS account with proper permissions to create and manage EC2 instances.
  • Basic knowledge of AWS, EC2, and Linux commands.

Customized Cloud Solutions to Drive your Business Success

  • Cloud Migration
  • Devops
  • AIML & IoT
Know More

Step 1: Launching an EC2 Instance on AWS

Instance Configuration

  1. Instance Type: We will use a medium instance, which provides a good balance of compute power and memory for running MicroK8s.
  2. Operating System: Ubuntu 22.04 LTS is our choice for its stability and compatibility with MicroK8s.
  3. Storage: Allocate 20 GB of disk space to accommodate the MicroK8s installation and workloads.
  4. Security Group Configuration: Configure the security group to allow necessary ports for Kubernetes communication.


Security Group Configuration

Create a security group with the following rules:

  • SSH (port 22): Allow SSH access for remote management.
  • HTTP (port 80) and HTTPS (port 443): Allow web traffic for accessing applications.
  • Custom TCP Rules: Open specific ports required by MicroK8s components:


16443 API server SSL encrypted. Clients need to present a valid password.
10250 kubelet X509 client certificate required.
10255 kubelet Read-only port.
25000 cluster-agent Proper token required.
12379 etcd SSL encrypted. Client certificates are required.
10257 kube-controller HTTPS with authentication.
10259 kube-scheduler HTTPS with authentication.
19001 dqlite SSL encrypted. Client certificates are required.
4789/udp calico Calico networking with VXLAN enabled.
10248 kubelet Localhost healthz endpoint.
10249 kube-proxy Metrics server port.
10251 kube-scheduler HTTP insecurely.
10252 kube-controller HTTP insecurely.
10256 kube-proxy Health check server.
2380 etcd Peer connections.
1338 containerd Metrics port.
30000-32767 NodePort NodePort range.


Step 2: Set Hostname

After launching the instance, connect via SSH and set the hostname:

sudo hostnamectl set-hostname microk8s-node1

Step 3: Install MicroK8s

MicroK8s can be installed using Snap, a package manager for Ubuntu.
sudo snap install microk8s --classic --channel=1.28/stable

Step 4: Configure User Permissions

Add your current user to the microk8s group and set up the necessary directories:

sudo usermod -a -G microk8s $USER sudo mkdir -p ~/.kube sudo chown -f -R $USER ~/.kube

Reboot the instance to apply the changes:
sudo reboot

Step 5: Verify MicroK8s Installation

After rebooting, verify the MicroK8s installation:
microk8s status --wait-ready microk8s version microk8s inspect
Check the node details:
cat /var/snap/microk8s/current/var/kubernetes/backend/localnode.yaml

Step 6: Alias kubectl Command

To avoid conflicts with existing kubectl installations, create an alias for MicroK8s kubectl:

nano ~/.bashrc

Add the following line:

alias mkubectl='microk8s kubectl'

Apply the changes:
source ~/.bashrc
You can now use mkubectl for Kubernetes commands. For example:

mkubectl get nodes

Step 7: Deploy an Application

Deploy a demo Nginx application:

<code>microk8s kubectl create deployment nginx –image=nginx –replicas=3 microk8s kubectl get pods </code>

Expose the deployment:

<code>microk8s kubectl expose deployment nginx –type=NodePort –name=nginx-service –port=80</code>

Step 8: Manage MicroK8s

Start and stop MicroK8s services as needed:

<code> microk8s stop microk8s start</code>


By following these steps, you’ve successfully deployed MicroK8s on an AWS EC2 instance. This setup provides a scalable, lightweight Kubernetes environment for your applications. MicroK8s simplifies Kubernetes management, making it easier to deploy, monitor, and scale your workloads. Stay tuned for more on MicroK8s, including advanced configurations, multi-node clusters, and best practices for production deployments. Happy containerizing!

Feel free to reach out for any queries or feedback in the comments below.


Get your new hires billable within 1-60 days. Experience our Capability Development Framework today.

  • Cloud Training
  • Customized Training
  • Experiential Learning
Read More

About CloudThat

Established in 2012, CloudThat is a leading Cloud Training and Cloud Consulting services provider in India, USA, Asia, Europe, and Africa. Being a pioneer in the cloud domain, CloudThat has special expertise in catering to mid-market and enterprise clients from all the major cloud service providers like AWS, Microsoft, GCP, Databricks, HP, and more. Uniquely positioned to be a single source for both training and consulting for cloud technologies like Cloud Migration, Data Platforms, DevOps, IoT, and the latest technologies like AI/ML, it is a top-tier partner with AWS and Microsoft, winning more than 8 awards combined in 11 years. Recently, it was recognized as the ‘Think Big’ partner from AWS and won the Microsoft Superstars FY 2023 award in Asia & India. Leveraging its position as a leader in the market, CloudThat has trained 650k+ professionals in 500+ cloud certifications and delivered 300+ consulting projects for 100+ corporates in 28+ countries.

WRITTEN BY Mehar Nafis



    Click to Comment

Get The Most Out Of Us

Our support doesn't end here. We have monthly newsletters, study guides, practice questions, and more to assist you in upgrading your cloud career. Subscribe to get them all!