Backend Component Documentation

This repository contains the backend component for the multicloud platform. The backend is responsible for handling deployment requests, managing DNS, and interacting with cloud providers. It is built using Python and deployed using Docker and Kubernetes.

Table of Contents

1. Project Structure
2. Prerequisites
3. Getting Started
4. Building the Docker Image
5. Deploying to Kubernetes
6. Configuration

Project Structure

Root Directory .
├── src/ # Source code for the backend application
├── backend-configMap.yaml # Kubernetes ConfigMap for backend configuration
├── backend-deployment.yaml # Kubernetes Deployment for the backend
├── backend-service.yaml # Kubernetes Service for exposing the backend
├── Dockerfile # Dockerfile for building the backend image
├── LICENSE # License file for the project
├── README.md # Project documentation
└── requirements.txt # Python dependencies

src/ Directory src/ ├── archive/ # Archived files
├── auth.py # Authentication and authorization logic
├── config.py # Configuration settings for the backend
├── deployment.py # Deployment logic for cloud providers
├── dns_manager.py # DNS management logic
├── main_app.py # Main application entry point
├── models.py # Database models (if applicable)
└── Notes.txt # Some notes

Prerequisites

Before you begin, ensure you have the following installed:

• Python (v3.8 or higher)
• Docker (v20 or higher)
• Kubernetes (optional, for deployment)
• kubectl (optional, for Kubernetes deployment)

Getting Started

1. Clone the repository:

   git clone https://github.com/dbd311/backend-multicloud.git cd backend-multicloud

2. Install Python dependencies:

   pip install -r requirements.txt

3. Build and Run the backend application locally: docker build -t backend-multicloud:latest . docker run -p 5000:5000 backend-multicloud:latest

   -p 5000:5000: Maps port 5000 on your local machine to port 5000 in the container. backend-multicloud:latest: The name and tag of the Docker image to run.

4. Access the Application:

   Once the container is running, open your browser and navigate to:

    http://localhost:5000
   

   The application should now be accessible from your local machine.

Deploying to Kubernetes

The Kubernetes manifests provided in this repository can be used to deploy the backend application to a Kubernetes cluster.

1. Apply the Kubernetes manifests:

   kubectl apply -f backend-configMap.yaml

   kubectl apply -f backend-deployment.yaml

   kubectl apply -f backend-service.yaml

2. Verify the deployment:

   kubectl get pods kubectl get services

3. Access the backend through the Service endpoint.

Configuration

Kubernetes Manifests

backend-configMap.yaml: Contains environment-specific configuration for the backend.

backend-deployment.yaml: Defines the Kubernetes Deployment for the backend application.

backend-service.yaml: Exposes the backend application as a Kubernetes Service.

Install Minikube and its dependencies on Windows 10:

Open PowerShell as Administrator and run to enable HyperV:

Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Hyper-V -All

Get-WindowsOptionalFeature -Online -FeatureName Microsoft-Hyper-V-All

Install Chocolatey (Package Manager for Windows)

Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1'))

choco --version

Install kubectl (Kubernetes CLI)

choco install kubernetes-cli

kubectl version --client

Install Minikube

choco install minikube

minikube version

Start Minikube

Launch PowerShell (Admin) and run:

minikube start --driver=hyperv

(If using VirtualBox, replace hyperv with virtualbox.)

Verify Installation

minikube status

kubectl get nodes

minikube dashboard

Troubleshooting

Delete and recreate the K82 cluster again

minikube delete && minikube start --driver=hyperv

Allocate more CPU and RAM

minikube config set cpus 4

minikube config set memory 8192

Alternative: Start minikube with Docker Desktop

minikube start --driver=docker

Check minikube and kubectl version

minikube version

kubectl version --client