K8s Student Project

This project is a student task focused on Kubernetes (K8s). Its goal is to provide hands-on experience in deploying and managing applications using Kubernetes.

Table of Contents

• Introduction
• Prerequisites
• Installation
• Usage
• Contribution
• License

Introduction

In this project, we will explore the basic concepts of Kubernetes and learn how to deploy and manage applications using Kubernetes in a kind cluster. The project will cover topics such as:

• Setting up a Kubernetes cluster;
• Deploying the Grafana image;
• Deploying a web interface to populate Grafana dashboards;
• Deploying ingress;
• Mounting log files.

Prerequisites

Before you begin, make sure you have the following prerequisites:

• Basic knowledge of containers and containerization;
• Familiarity with the Linux command-line interface;
• Access to a Linux operating system (VMs, WSL, Cloud Clusters);
• Kubernetes installed on the operating system;

Installation

To install the necessary tools and set up your development environment, follow these steps:

WSL

1. Install Docker desktop: (https://docs.docker.com/desktop/install/windows-install/)
2. Install Kubernetes: (https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/)
3. Install a tool that is capable of creating a local cluster:
   • kind (https://kind.sigs.k8s.io/docs/user/quick-start/)
   • minikube (https://minikube.sigs.k8s.io/docs/start/)

Ubuntu

1. Update the system:
   • sudo apt update
   • sudo apt upgrade
2. Install prerequisite packages:
   • sudo apt-get install curl apt-transport-https ca-certificates software-properties-common
3. Add the Docker repositories:
   • curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
   • sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
   • sudo apt update
   • apt-cache policy docker-ce
4. Install Docker for Ubuntu:
   • sudo apt install docker-ce
5. Check the Docker status:
   • sudo systemctl status docker
6. Install Kubernetes:
   • (https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/)
7. Install a tool that is capable of creating a local cluster:
   • kind (https://kind.sigs.k8s.io/docs/user/quick-start/)
   • minikube (https://minikube.sigs.k8s.io/docs/start/)

Other Tools

Refer to the Docker and Kubernetes documentation for proper installation instructions.

Usage

To use this project, follow these steps:

1. Clone the repository: https://github.com/Rafaelcoder18/dashboard-grafana-k8s.git
2. Navigate to the project directory: cd student-k8s-project
3. Deploy the application using Kubernetes: kubectl apply -f deployment.yaml
4. Monitor the application using the Kubernetes dashboard: kubectl proxy and access the dashboard at http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/

Contribution

Contributions are welcome! If you have any ideas, suggestions, or bug reports, open an issue or submit a pull request.

License

This project is licensed under the MIT License.