/DevOps-AWS-FARM

It Contains my Github Actions CI/CD Pipeline Codes , Tests and Also AWS Deployement in Pipeline

Primary LanguagePython

Project Title

Brief description or tagline for your project.

Table of Contents

Overview

Provide a high-level overview of your project, including its purpose and key features. Mention the technologies used (FARM, Docker, AWS ECR) and any relevant details.

Features

List the main features of your project. For example:

  • Feature 1: Description of feature 1.
  • Feature 2: Description of feature 2.
  • ...

Getting Started

Provide instructions on how to set up and run your project locally. This should include steps to install dependencies and any necessary configuration.

Prerequisites

List the prerequisites or dependencies required to run your project. For example:

  • Docker
  • Node.js
  • MongoDB

Installation

Provide step-by-step instructions to install and configure your project. Include code snippets if necessary.

  • Step 1: Creating Virtual Environment
python -m venv venv
  • Step 2: Activating Virtual Environment
source venv/bin/activate
  • Step 3: Installing Dependencies
pip install -r requirements.txt
  • Step 4: Running the Application
uvicorn main:app --reload

Usage

Explain how to use your project once it's up and running. This could include API endpoints, UI navigation, or any other relevant information. Provide examples or screenshots if possible.

Deployment

Explain how to deploy your project to a production environment. This could include steps to build Docker images, push to AWS ECR, and deploy containers on AWS ECS (Elastic Container Service) or any other platform you're using.

Technologies

List the main technologies or frameworks used in your project. For example:

  • FastAPI
  • React
  • MongoDB
  • Docker
  • AWS ECR
  • ...

Contributing

Provide guidelines for contributing to your project, if applicable. This could include information on how to report issues or submit pull requests.

License

Specify the license under which your project is distributed. For example, MIT License, Apache License 2.0, or any other license of your choice.