Dockerize fastapi app python framework inside docker container

certainly! dockerizing a fastapi application allows you to easily deploy and manage your application in a containerized environment. below is a step-by-step tutorial on how to create a fastapi app, dockerize it, and run it inside a docker container.

### step 1: set up your fastapi application

1. **install fastapi and uvicorn**:
first, make sure you have python installed. you can create a virtual environment and install fastapi and uvicorn (an asgi server) using pip.



2. **create a simple fastapi app**:



### step 2: create a dockerfile

next, you'll need to create a dockerfile that defines how to build your docker image.

1. **create a dockerfile**:
in the same directory, create a file named `dockerfile` with the following content:





### step 3: build the docker image

now that you have your fastapi app and dockerfile set up, you can build the docker image.

1. open a terminal in the `fastapi-docker-example` directory and run:



this command will create a docker image named `fastapi-docker-example`.

### step 4: run the docker container

once the image is built, you can run the container.

1. run the following command in the terminal:



this command will run the container in detached mode (`-d`), name it `fastapi-container`, and map port 8000 on your local machine to port 8000 in the container.

### step 5: access your fastapi application

open your web browser or an api client like postman or curl and go to:

you should see:

to access the automatic documentation provided by fastapi, visit:

### step 6: stopping and removing the container

if you want to stop and remove the container, you can run:

### summary

you've successfully created a simple fastapi application, dockerized it, and run it inside a docker container! this setup allows you to easily depl ...

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