Day 84 (Project-5): Deploying Netflix Clone with Kubernetes ๐ŸŽฌ


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Day 84 (Project-5): Deploying Netflix Clone with Kubernetes ๐ŸŽฌ

Hey everyone! Today, I'm thrilled to share with you an exciting project I've been working on - deploying a Netflix clone web application on a Kubernetes cluster. Let's dive into the details!

Project Description ๐Ÿ“

This project is all about harnessing the power of Kubernetes, a leading container orchestration platform, to deploy and manage containerized applications at scale. Here's what's on the agenda:

  • Netflix Clone Application: We're deploying a Netflix clone web application, leveraging Kubernetes to ensure high availability, scalability, and automatic failover.

  • Dockerization: The application and its dependencies will be containerized using Docker, streamlining the deployment process and ensuring consistency across environments.

  • Kubernetes Deployment: Kubernetes manifests will be utilized to deploy the Docker images onto the Kubernetes cluster, taking advantage of Kubernetes' robust orchestration capabilities.

Pre-requisites ๐Ÿ› ๏ธ

Before diving into the project, ensure the following pre-requisites are met:

  • EC2 Instance Setup: Provision an EC2 instance via AWS Management Console, configured with a t2.medium setup, serving as the deployment environment.

  • Docker Installation: Install Docker on the EC2 instance, facilitating containerization of the application.

  • Kubernetes Installation: Install Kubernetes and kubectl utility on the EC2 instance, empowering efficient management of containerized applications across clusters.

Project Steps ๐Ÿš€

Now, let's break down the steps involved in deploying our Netflix clone with Kubernetes:

  1. Retrieve Code from GitHub: Clone the source code of the Netflix clone application from GitHub onto the EC2 instance, setting the stage for deployment.

  2. Docker Image Creation: Build a Docker image of the Netflix clone application and its dependencies using the provided Dockerfile, ensuring encapsulation and consistency.

  3. Push Docker Image to DockerHub: Upload the Docker image to DockerHub, enabling seamless sharing and distribution across environments.

  4. Create Deployment YAML File: Craft a deployment YAML file specifying how Kubernetes should manage the deployment, including details like image, replicas, and resource requirements.

  5. Deploy and Validate Application: Apply the deployment YAML file to the Kubernetes cluster using kubectl, verifying successful deployment and functionality.

  6. Establish Service Configuration: Configure a service.yaml file to expose the Netflix clone application to external clients via node ports.

  7. Verify Service Functionality: Apply the service.yaml file to the Kubernetes cluster, confirming correct configuration and accessibility.

  8. Test Accessibility with cURL: Utilize cURL to test the accessibility of the Netflix clone application, ensuring seamless interaction.

  9. Validate Public Accessibility: Verify public accessibility of the application via a public URL, ensuring availability from anywhere on the internet.

  10. Utilize API Keys for Data Synchronization: Configure API keys during container creation to enable real-time data synchronization between the Netflix clone application and the actual Netflix platform.

Conclusion ๐ŸŽ‰

In conclusion, this project demonstrates the deployment process of a Netflix clone web application using Kubernetes. By following these steps, users can effectively deploy and manage containerized applications at scale, leveraging Kubernetes' powerful features for orchestration and management.

#Kubernetes #NetflixClone #Containerization #DevOps #TechProjects #Day84 ๐Ÿณ๐Ÿ’ปโœจ