Why production patterns matter in Docker - See It in Action

Why production patterns matter

📖 Scenario: You are working as a DevOps engineer for a small web application team. The team wants to deploy their app using Docker containers. You need to create a simple Docker setup that follows good production patterns to ensure the app runs reliably and can be maintained easily.

🎯 Goal: Build a Docker setup with a Dockerfile and a docker-compose.yml file that uses production patterns such as specifying a base image, setting environment variables, and defining service ports. This will help the team understand why production patterns matter for stability and scalability.

📋 What You'll Learn

Create a Dockerfile with a specific base image and environment variable

Create a docker-compose.yml file defining a service with ports and environment

Use production patterns like explicit ports and environment variables

Print the final Docker Compose configuration to verify

💡 Why This Matters

🌍 Real World

Using Docker with production patterns helps teams deploy apps that are reliable, easy to maintain, and scalable.

💼 Career

DevOps engineers often create Docker setups that follow best practices to ensure smooth production deployments.

1

Create a Dockerfile with base image

Create a file named Dockerfile with the line FROM python:3.12-slim to specify the base image.

Docker

# Your code here

Need a hint?

The FROM line tells Docker which base image to use. Use the official Python 3.12 slim image.

2

Add environment variable in Dockerfile

Add a line to the Dockerfile to set an environment variable ENV APP_ENV=production below the FROM line.

Docker

FROM python:3.12-slim
# Your code here

Need a hint?

Use the ENV instruction to set environment variables inside the container.

3

Create docker-compose.yml with service and ports

Create a docker-compose.yml file with a service named web that uses the current directory as build context, exposes port 8000 mapped to container port 80, and sets environment variable APP_ENV=production.

Docker

FROM python:3.12-slim
ENV APP_ENV=production
# Your code here

Need a hint?

Use build: . to build from current directory. Map port 8000 on host to 80 in container. Set environment variable under environment.

4

Print the docker-compose.yml content

Write a command to print the contents of docker-compose.yml to verify the setup.

Docker

version: '3.8'
services:
  web:
    build: .
    ports:
      - "8000:80"
    environment:
      - APP_ENV=production

# Your code here

Need a hint?

Use Python's open and print to display the file content.