aayushpaigwar / fastapi-azure-deployment

Azure Backend Deployment Event by Jarvis GHRCE

Welcome to Azure Backend Deployment Event by Jarvis

This event is hosted by Atharva Malode and Aayush Paigwar. It will guide you through deploying backend services using FastAPI, Docker, and Microsoft Azure. The session will be particularly useful for learning how to deploy machine learning models and scalable backends on Azure.

The event will be conducted in three phases:

1. Phase 1: Learn about FastAPI and how to deploy it on localhost:8000.
2. Phase 2: Cover topics such as Docker and deployment on Docker Hub.
3. Phase 3: Conclude with deployment on Microsoft Azure with the help of VS Code.

Quick Roadmap to the Event!

1. Download the zip file from JARVIS GHRCE GitHub account
2. Extract the files and open a new folder in Visual Studio Code
3. Install the required dependencies using requirements.txt
4. Run the FastAPI code and generate the link on port 8000
5. Download Docker Desktop and keep it running till the program is terminated
6. Create a new image in Docker and specify its version
7. Deploy this image in a container on Docker Hub or on Azure

Steps for Deployment

Phase 1: FastAPI on Localhost 8000

1. Download the Git file as zip or clone the repo

   Visit the JARVIS GHRCE GitHub repository and download the project zip file or clone the repository.

2. Open Visual Studio Code

   Open the extracted folder in Visual Studio Code by selecting File > Open Folder and navigating to the extracted folder.

3. Install requirements in the terminal

   Open the terminal in VS Code by selecting Terminal > New Terminal. Run the following command to install the required dependencies:

   pip install -r requirements.txt
   

4. Run fastAPI Application

   uvicorn app.main:app --reload
   

5. Click on the link generated and open in new tab link for example: http://127.0.0.1:8000 add /docs on the new tab while opening

6. Terminate the link by using clrt+C

Phase 2: Docker and Docker hub Deployment

1. Open DockerFile in VS Code

2. Keep the Docker Deskstop open while running the program

3. Build Docker Image

   docker build -t jarvis:v1 .
   docker run -p 8000:8000 jarvis:v1
   

Phase 3: Deployment on Microsoft Azure

1. Login to Azure website and create a container
2. Return to terminal and execute

   az acr login -n <your-registry-name>
   docker tag jarvis:v1 <your-registry-name>.azurecr.io/jarvis:v1

3. Push and run the container

   docker push <your-registry-name>.azurecr.io/jarvis:v1

4. Congratulations the deployment of FastAPI using Docker and Azure is completed!

Contribution Note

You can contribute to the repository by making sample API calls in your preferred programming language and submitting them in the test-your-api-in-different-languages folder.

Steps to Contribute:

1. Fork the Repository

   Fork the JARVIS GHRCE GitHub repository to your own GitHub account.

2. Clone the Forked Repository

   Clone the forked repository to your local machine:

   git clone https://github.com/<your-username>/JARVIS-GHRCE.git
   

3. Make changes and raise a Pull Request.