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End-to-End Kubernetes Deployment: EC2 Instances, Docker, Kubernetes Cluster, Metrics-Server, Helm, and Auto-Scaling with Apache Web Server.

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lakshmiyagnanandareddy/apachewebserver

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apachewebserver

Project Title

End-to-End Kubernetes Deployment: EC2 Instances, Docker, Kubernetes Cluster, Metrics-Server, Helm, and Auto-Scaling with Apache Web Server.

Description

This project covers various essential components, starting with setting up the infrastructure using EC2 instances on AWS, containerizing the application with Docker, and creating a Kubernetes cluster for efficient orchestration.

In addition, the deployment includes the installation of the Metrics Server, enabling real-time monitoring of resource usage and performance metrics within the Kubernetes cluster. Helm, a powerful package manager for Kubernetes, is utilized to streamline the deployment process by managing charts and configurations.

Furthermore, the project showcases the implementation of auto-scaling, allowing the Kubernetes cluster to dynamically adjust the number of Apache Web Server replicas based on incoming traffic and resource demands, ensuring optimal performance and resource utilization. This guide provides a detailed, step-by-step approach to deploying and managing a Kubernetes-based application, offering insights into each stage of the process and demonstrating how the use of these technologies enables seamless and scalable application deployment.

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End-to-End Kubernetes Deployment: EC2 Instances, Docker, Kubernetes Cluster, Metrics-Server, Helm, and Auto-Scaling with Apache Web Server.

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