Deploying a Containerized Web App on Amazon EKS

Introduction:

Amazon Elastic Kubernetes Service (Amazon EKS) is a managed Kubernetes service that makes it easy for you to deploy, manage, and scale containerized applications on AWS.

In this episode will take a deep dive into the process of deploying a containerized web application on Amazon EKS.

You will learn how to containerize your application with Docker, store and manage container images in Amazon Elastic Container Registry (Amazon ECR), create and manage an Amazon EKS cluster, and deploy your application to the cluster.

You will also learn about concepts such as deployments, services, and horizontal pod autoscaling, as well as how to implement a multi-AZ deployment to ensure high availability for your application.

By successfully completing this repository, [GitHub Link] you will have strengthened your understanding of containerization and Amazon EKS.

Amazon Elastic Kubernetes Service (EKS):

EKS: Amazon EKS is a fully managed Kubernetes service that simplifies the deployment and operation of Kubernetes clusters. It provides a highly available and scalable Kubernetes control plane and integrates with other AWS services.

Amazon Elastic Container Registry (ECR):

ECR: Amazon ECR is a fully managed Docker container registry that makes it easy to store, manage, and deploy Docker container images. It integrates seamlessly with ECS and EKS, allowing you to store and manage your container images securely.

Learning Objectives:

• Gain hands-on experience with containerization using Docker.
• Understand how to use Amazon ECR to store and manage container images.
• Learn the basics of creating and managing an Amazon EKS cluster.
• Explore Kubernetes concepts like Deployments, Services, and Horizontal Pod Autoscaling.
• gained valuable experience in deploying and managing containerized applications on a scalable and managed Kubernetes platform.
• Implement multi-AZ deployment to ensure high availability.

This knowledge will empower you to tackle more complex containerization challenges and expand your skills in building and deploying modern, cloud-native applications on Amazon EKS.

Whether you are new to Amazon EKS or looking to level up your skills, this repository has you covered.

Architecture Diagram:

Architecture Components:

• Amazon ECR (Elastic Container Registry): Stores and manages container images used by Amazon EKS clusters.
• Amazon EKS Cluster: A managed Kubernetes cluster that runs containerized applications.
• Internet Gateway: Allows traffic to flow between the EKS cluster and the internet.
• NAT Gateway: Translates private IP addresses to public IP addresses, allowing communication between the EKS cluster and the internet.
• Route Table: Directs traffic between the EKS cluster and the internet gateway or NAT gateway.
• Load Balancer (Service in Kubernetes): Distributes traffic across multiple instances of a containerized application.
• Auto-Scaling: Automatically scales the number of instances of a containerized application based on demand.
• Availability Zones: Physically separate data centers that provide redundancy and fault tolerance.
• Public Subnets: Subnets that allow communication with the internet.
• Private Subnets: Subnets that do not allow communication with the internet.

Use Case: Containerized Web Application on Amazon EKS.

This is a guide on how to Develop and Deploying a Basic Web Application on Amazon EKS

Scenario:

Imagine you are developing a basic web application, and you want to deploy it using Amazon EKS to ensure high availability and scalability.

Design Considerations:

1. Containerization: Containerize your web application using Docker. This involves creating a Dockerfile to define your application's dependencies and runtime environment.
2. Amazon ECR (Elastic Container Registry): Store your container images in Amazon ECR. ECR is a managed Docker container registry that makes it easy to store, manage, and deploy Docker container images.
3. Amazon EKS Cluster: Create an Amazon EKS cluster to host your containerized application. The cluster will include worker nodes that run your application's containers.
4. Kubernetes Deployments: Define Kubernetes Deployments to manage the deployment and scaling of your application containers. Specify the desired number of replicas and resource requirements.
5. Service Discovery and Load Balancing: Use Kubernetes Services for service discovery and load balancing. This ensures that incoming traffic is distributed among the available container replicas.
6. Auto-Scaling: Implement Kubernetes Horizontal Pod Autoscaling to automatically adjust the number of running pods based on observed CPU utilization or other custom metrics.
7. Multi-AZ Deployment: Deploy your EKS cluster across multiple availability zones (Multi-AZ) to ensure high availability. This provides redundancy, and if one availability zone experiences issues, your application can continue running in another.

Conclusion:

In this episode, we demonstrated the process of deploying a containerized web application on Amazon EKS.

We covered the entire workflow, from containerizing the application with Docker, storing and managing container images in Amazon ECR, creating and managing an Amazon EKS cluster, and deploying the application to the cluster.

We also explored concepts such as deployments, services, and horizontal pod autoscaling, as well as how to implement a multi-AZ deployment to ensure high availability for the application.

By following the steps outlined in this episode, you can easily deploy your own containerized web applications on Amazon EKS and take advantage of the scalability, reliability, and security that Amazon EKS provides.

Call-to-Action:

I encourage you to actively engage with the content by asking questions and sharing your experiences. Learning is a collaborative journey, and I am here to support you every step of the way. To practice what you've learned,

To further enhance your Docker journey, I invite you to explore the following resources:

GitHub Repository: Access the exercise files used in this blog series and experiment with Docker concepts firsthand: [GitHub Link]

YouTube Channel: Subscribe to my YouTube channel for hands-on tutorials in-depth demonstrations, and further insights into the topics covered in this series: [YouTube Link]

Thank you for joining me on this exciting Docker journey.

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