Redis – Deploying multi container group to Azure Serverless

I have a containerised Django Rest Framework application along with a Celery container for background task processing and Redis container as a broker.

I want to deploy this application to the Azure Serverless. I have been trying to look for the solutions but had no luck so far.

Here are the two question I have –

1. Is it possible to deploy multi-container group application to Azure Serverless?

2. Is it possible to deploy the tech stack I have stated above to Azure Serverless? (please provide an example or a link to the documentation to guide me.)

Project’s Docker Configurations –

docker-compose

version: "3"

services:

  redis:
    container_name: redis-container
    image: "redis:latest"
    ports: 
      - "6379:6379"
    restart: always
    command: "redis-server"

  snowflake-optimizer:
    container_name: snowflake-optimizer
    build:
      context: .
      dockerfile: Dockerfile
    volumes:
      - .:/snowflake-backend
    ports:
      - "80:80"
    expose:
        - "80"
    restart: always
    command: "python manage.py runserver 0.0.0.0:80"
    links: 
      - redis

    
  celery:
    container_name: celery-container
    build: 
      context: .
      dockerfile: Dockerfile.celery
    command: "celery  -A snowflake_optimizer worker -l INFO"
    volumes:
      - .:/snowflake-optimizer
    restart: always
    links:
      - redis
    depends_on: 
      - snowflake-optimizer
  

Dockerfile (Django Rest Framework)

FROM python:3.7-slim

ENV PYTHONUNBUFFERED 1

RUN apt-get update &&
    apt-get install python3-dev default-libmysqlclient-dev gcc  -y &&
    apt-get install -y libssl-dev libffi-dev &&
    python -m pip install --upgrade pip &&
    mkdir /snowflake-backend

WORKDIR /snowflake-backend

COPY ./requirements.txt /requirements.txt

COPY . /snowflake-backend

EXPOSE 80

RUN pip install -r /requirements.txt

RUN pip install -U "celery[redis]"

RUN python manage.py makemigrations &&
    python manage.py migrate
    
CMD [ "python", "manage.py", "runserver", "0.0.0.0:80"]

Docker.celery (Celery)

FROM python:3.7-slim

ENV PYTHONUNBUFFERED 1

RUN apt-get update &&
    apt-get install python3-dev default-libmysqlclient-dev gcc  -y &&
    apt-get install -y libssl-dev libffi-dev &&
    python -m pip install --upgrade pip &&
    mkdir /snowflake-backend

WORKDIR /snowflake-backend

COPY ./requirements.txt /requirements.txt

COPY . /snowflake-backend

EXPOSE 80


RUN pip install -r /requirements.txt

RUN pip install -U "celery[redis]"

CMD [ "celery", "-A", "snowflake_optimizer", "worker", "-l ", "INFO"]