In this story, we will see how to dockerize the API and deploy it. (pat-1)

let’s undetstand some most useful and basic commands of Docker
step 1 — Create Dockerfile
Create a new file and rename it Dockerfile
before moving, we have to make some changes in flask app
Replace
if name=='__main__':
app.run()
with
if name=='__main__':
app.run(host='0.0.0.0')
Now, Inside Dockerfile
FROM continuumio/anaconda3:4.4.0
COPY . /usr/app
EXPOSE 5000
WORKDIR usr/app
RUN pip install -r requirements.txt
CMD python flask_app.py
Creat your requirements.txt file by following command
pip freeze > requirements.txt
Step 2 — Build docker image
docker build -t "<app_name>" .
--------------------------------
Eg: docker build -t noteAuth_api .
Step 3 — Run the Docker container after build
docker run -p 8000:8000 noteAuth_api
manage your all running container
docker ps # You can see you container id , status and name etc
If you want to access the ip address for a specific running container
docker inspect "<Container_id>"
Kill and remove container
docker rm "<container_id>" -f
If you will use flasgger_app.py from my github repo which is created with flasgger ( pip install flasgger
) for User interface. Output will be like running on Doker

Congratulations 🥳 ! You made it.This is it with Dockers.
There is a lot to learn on dockers but at beginner level it is sufficient.
In the upcoming story, we will see How to deploy Machine Learning pipeline on Google kubernates Engines.
Thank You