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README.md

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+# FastAPI DevOps Project
+
+This project demonstrates my proficiency in building, securing, containerizing, and deploying a modern web application using FastAPI. The goal is to showcase the end-to-end workflow of a DevOps Engineer, from application development to CI/CD pipeline implementation and cloud deployment. 
+
+## Project Overview
+
+The application is a simple FastAPI service that includes JWT-based authentication for securing API endpoints. This project is designed with scalability, security, and automated deployment in mind, using industry-standard DevOps practices.
+
+## Key Features & Technologies
+
+### 1. **FastAPI & JWT Authentication**
+   - Developed a FastAPI application that serves API endpoints.
+   - Secured endpoints using **JWT Authentication**, ensuring only authorized users can access protected resources.
+   - Implemented authentication in Python using FastAPI's built-in support for OAuth2 and JWT tokens.
+
+### 2. **Containerization with Docker**
+   - Wrote a **multi-stage Dockerfile** to optimize both the build and runtime environments.
+   - The application runs in an isolated Docker container, ensuring a consistent and portable deployment across different environments.
+   - Successfully ran the FastAPI app inside Docker and exposed it via `uvicorn`.
+
+### 3. **CI/CD Pipeline with GitHub Actions**
+   - Implemented an automated CI/CD pipeline using **GitHub Actions** to ensure that every code commit triggers a series of actions:
+     - Build the Docker container.
+     - Run tests (to be implemented next).
+     - Deploy the application seamlessly.
+
+### 4. **Logging and Monitoring**
+   - **Prometheus** is used to gather application metrics, which are visualized through **Grafana**, ensuring proactive monitoring and observability of the application's performance.
+   - Added **custom logging** to monitor application behavior, making debugging and troubleshooting easier in production environments (next step in the project).
+
+### 5. **Cloud Deployment on AWS**
+   - Planned deployment on an **AWS EC2 instance**, where the application will run in a scalable cloud environment. This step will demonstrate the ability to manage infrastructure as code and deploy to cloud environments (coming soon).
+
+### 6. **Security Best Practices**
+   - JWT authentication ensures only verified users can access sensitive data.
+   - Docker and AWS security groups are configured to minimize attack vectors and provide secure, scalable architecture.
+
+## DevOps Skills Highlighted
+This project demonstrates my expertise in:
+- **Application Development**: Building secure, scalable APIs using FastAPI and Python.
+- **Containerization**: Creating and optimizing Docker containers for consistent application deployment.
+- **Automation & CI/CD**: Leveraging GitHub Actions for continuous integration and deployment.
+- **Infrastructure Management**: Deploying applications to AWS and ensuring secure, scalable cloud architecture.
+- **Monitoring & Logging**: Implementing Prometheus and Grafana for real-time application performance monitoring.
+- **Security**: Utilizing JWT authentication and Docker security practices to protect and maintain secure environments.
+
+## Project Milestones
+- ✅ Completed JWT Authentication and protected endpoints.
+- ✅ Successfully containerized the FastAPI app with Docker.
+- ✅ Integrated CI/CD pipeline with GitHub Actions for automated testing and deployment.
+- ⏳ Adding automated tests to improve application reliability.
+- ⏳ Implementing logging, monitoring, and Prometheus/Grafana setup.
+- ⏳ AWS EC2 deployment with scalability and security measures.
+
+## Conclusion
+This project demonstrates my technical capabilities in DevOps, showcasing an end-to-end approach from application development to automated cloud deployment. Through this project, I have implemented best practices in containerization, CI/CD pipelines, cloud infrastructure, and application security. 
+