# Dockerfile
# Gebruik officiële Python runtime als parent image
FROM python:3.9-slim

# Stel werkdirectory in
WORKDIR /app

# Kopieer requirements.txt
COPY requirements.txt .

# Installeer dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Kopieer applicatie code
COPY . .

# Maak poort 8000 beschikbaar
EXPOSE 8000

# Definieer environment variabelen
ENV PYTHONUNBUFFERED=1

# Run de applicatie
CMD ["python", "app.py"]

# Multi-stage Dockerfile voor kleinere images
# Build stage
FROM golang:1.19-alpine AS builder
WORKDIR /app
COPY . .
RUN go mod download
RUN go build -o main .

# Runtime stage
FROM alpine:latest
RUN apk --no-cache add ca-certificates
WORKDIR /root/
# Kopieer alleen het binary van builder stage
COPY --from=builder /app/main .
EXPOSE 8080
CMD ["./main"]

# docker-compose.yml
version: '3.8'
services:
  webapp:
    build: .
    ports:
      - "8000:8000"
    environment:
      - DATABASE_URL=postgres://user:pass@db:5432/mydb
    depends_on:
      - db
    volumes:
      - ./app:/app
      - static_volume:/app/static

  db:
    image: postgres:14
    environment:
      - POSTGRES_DB=mydb
      - POSTGRES_USER=user
      - POSTGRES_PASSWORD=pass
    volumes:
      - postgres_data:/var/lib/postgresql/data

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"

volumes:
  postgres_data:
  static_volume:

Data Science Dockerfile

# Dockerfile voor Data Science
FROM jupyter/datascience-notebook:latest

# Installeer extra Python packages
RUN pip install --no-cache-dir \
    pandas-profiling \
    scikit-learn \
    xgboost \
    mlflow \
    great-expectations

# Installeer system dependencies
USER root
RUN apt-get update && apt-get install -y \
    curl \
    git \
    vim

# Stel werkdirectory in
WORKDIR /home/jovyan/work

# Kopieer Jupyter config
COPY jupyter_notebook_config.py /etc/jupyter/

# Start Jupyter Lab
CMD ["start-notebook.sh", "--NotebookApp.token=''"]

Kubernetes Deployment met Docker Images

apiVersion: apps/v1
kind: Deployment
metadata:
  name: data-api
spec:
  replicas: 3
  selector:
    matchLabels:
      app: data-api
  template:
    metadata:
      labels:
        app: data-api
    spec:
      containers:
      - name: data-api
        image: myregistry.azurecr.io/data-api:v1.2.3
        ports:
        - containerPort: 8000
        env:
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: db-secret
              key: url