Monday, March 3, 2025

Steps-by-Step To Provisioning An EKS Cluster | Overview & Hands-On.

Steps-by-Step To Provisioning An EKS Cluster - Overview & Hands-On.

Focus:

Talored for:

DevOps,
SRE,
DevSecOps Engineers

Scope:

Intro,
Key Concepts,
Common Use Cases,
Link to documentation,
Project: Hands-On

Intro:

An EKS cluster refers to an Amazon Elastic Kubernetes Service (EKS) cluster;
EKS cluster is a managed Kubernetes service provided by Amazon Web Services (AWS):
EKS cluster makes it easy to:

Deploy,
Manage,
And scale containerized applications using Kubernetes.

AWS handles the management of :

the Kubernetes control plane, including the API server nodes and backend persistence layer, allowing users to focus on application deployment and management of the data plane (worker nodes).

Key Concepts

Managed Control Plane:

AWS manages and scales the Kubernetes control plane across multiple Availability Zones to ensure high availability and durability.

Worker Nodes:

Users can provision and manage worker nodes using Amazon EC2 instances (self-managed or managed node groups) or use the serverless compute option with AWS Fargate.

Integration with AWS Services:

EKS seamlessly integrates with other AWS services for networking (Amazon VPC), monitoring (Amazon CloudWatch), load balancing (ELB, ALB), and identity and access management (IAM).

Security and Compliance:

EKS provides robust security features, including IAM integration for authentication, network policies, and audit logging to CloudWatch.

Deployment Tools:

Clusters can be created and managed using various tools such as the AWS Management Console, AWS CLI, eksctl (a simple CLI for EKS), AWS CloudFormation, or Infrastructure as Code (IaC) tools like Terraform.

Common Use Cases

EKS is used in various scenarios where a scalable, reliable, and secure Kubernetes environment is needed:

Microservices Architectures:

Running highly available microservices by leveraging load balancing and auto-scaling.

Hybrid Cloud Deployments:

Using EKS Anywhere to run EKS clusters in on-premises data centers for a consistent hybrid cloud experience.

Machine Learning:

Running ML workloads that require specific compute resources and scaling capabilities.

CI/CD Pipelines:

As a robust platform for deploying and running continuous integration and continuous delivery pipelines.

NB:

Link to documentation

https://docs.aws.amazon.com/eks/

Project: Hands-On

How twtech uses terraform (IaC) to provision EKS infrastructure in aws

While bootstrapping all the dependencies
From Visual Studio Code, create a .tf file with define resources & values.

Step-1:

Configure all the files in the module with appropriate values for resources that would be provision.

Connect (ssh) to instance and verify that all the necessary packages that were bootstrapped.

Step-2:

Verify that packages and dependencies were successfully bootstrapped

Step-3:

Provision twtech-EKS-Cluster in Cloud with command line(CLI).

NB:

Values should be configured to match the region and expected name, node type, and number of nodes
This should take about 10 to 15 minustes to fully provision the EKS resource defines

eksctl create cluster --name twtech-eks --region us-east-2 --nodegroup-name twtnode --node-type t3.medium --managed --nodes 2

Step-4:

Verify that the cluster is successfully provision and running seamslessly
The following command should confirm that EKS cluster is up and running.

eksctl get cluster --name twtech-eks --region us-east-2

Step-:5

Update configuration file by entering below command:

aws eks update-kubeconfig --name twtech-eks --region us-east-2

step-6:

List the all nodes created, to verify that the nodes are up and running.

kubectl get node

Step:7

Deploy test applications with PVC,PV, and Storage-Class (MongoDB)
link found on twtech github-pub-repository:

https://github.com/Think-with-Tech/Ansible-k8s-helm/blob/main/twtech-apps-PVC-PV-SC.yaml

#!/bin/bash

# This manifest file would provision, pvc. pv, sc, twtech-springapp, twtech-webapp, and svc.

nono (vi or vim) into a file and create a manifest file:

sudo vi app-pvc-pv-sc-svc.yaml

Step:8

Provision the resources in the cluster:

kubectl apply -f app-pvc-pv-sc-svc.yaml

Step-9:

List all resources provisioned in the EKS default namespace:

kubectl get all

Step-10:

List all resources created in all eks namespaces:

kubectl get all -A

Step-11:

List the pvc created:

kubectl get pvc

Step-12:

List the pv created:

kubectl get pv

Step-13:

List the sc created:

kubectl get sc

Step-14:

Accessing the twtech-Apps on eks-cluster:
List the services:

kubectl get svc

Step-15:

Get the PubIP of the worker node: GUI

10.191.xxx.394:31400

Browse the application: firewall to application restrict access. port must be opened to allow traffic access from N-users

Step-16:

Go to Security group (firewall) and open just the required ports , for security reasons on the worker nodes:

From:

To:

Save changes:

Step-17:

Go back and refresh the application page:

twtech-spring-boot-mongo

Step-18:

Try to populate with data and see whether data will be saved on the twtech-db:

Step-19:

Accessing twtech-webpp also provisioned:

NB:

The path to the application is /twtech

10.191.158.190:31200/twtech

Step-20:

Verify that all resources Resources referenced are provisioned with the eks-cluster using:

Go to AWS CloudFormation:

Two CloudFormation stacks for:

twtech-eks-nodegroup(s) (EKS Managed Nodes (SSH access: false) [created by eksctl)
twtech-eks-cluster (EKS cluster (dedicated VPC: true, dedicated IAM: true) [created
and managed by eksctl)