Wondering how to deploy FastAPI in Docker? Our Docker Support team is here to lend a hand with your queries and issues.

Docker deploy FastAPI

Docker can be described as an open source containerization platform. It allows developers to package their applications into containers. Furthermore, the delivery of distributed applications are simplified by containers.

In fact, containers have become popular with many organizations shifting to hybrid multicloud environments and cloud-native development.

Docker makes it easier, safer, and simpler for developers to build, deploy as well as manage containers.

On the other hand, a Docker image is an inert read-only template. It comes with instructions to deploy containers.

Moving on to FastAPI, it is a web framework to build APIs with Python 3.6+. It is extremely fast due to the support of the async feature courtesy of Python 3.6+.

Many giant corporations have already switched to FastAPI in order to build their applications.

Today, our experts are going to take us through the process of dockerizing a simple FastAPI application.

1. First, we have to install the virtual environment as seen below:

   pip3 install virtualenv
2. Next, we will create and activate a virtual environment with these commands:

   python3 -m venv bobenv
source bobenv/bin/activate
3. Then, we have to install FastAPI

   pip3 install fastapi
pip3 install uvicorn
4. Next, check if we have the app.py application:

   from fastapi import FastAPI
app = FastAPI()
@app.get("/")
def read_root():
return { "Bobcares app": "Welcome to Bobcares app" }
5. After that, we have to create a requirements.txt file and add the following:
   FROM python:3.6
COPY . /src
COPY ./requirements.txt /src/requirements.txt
WORKDIR src
EXPOSE 8000:8000
RUN pip install -r requirements.txt
CMD [ "python", "app.py" ]
6. Now, it is time to build a docker image called demo and then run the docker image.
7. Next, head to http://127.0.0.1:8000 and we will be able to the image below:

   

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Conclusion

To wrap things up, our Support Engineers took us through the process of deploying a FastAPI application in Docker.