# A simple, correct Dockerfile for a Python web app
FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

DevOps Toolchain Checklist
☐ Linux commands, users, permissions, processes
☐ Bash scripting basics
☐ Git branching and pull requests
☐ Docker images, containers, volumes, Compose
☐ A CI/CD tool with a pipeline you build
☐ Kubernetes: pods, deployments, services
☐ One cloud platform (AWS or Azure)
☐ Terraform or another IaC tool
☐ Monitoring basics (logs, metrics, alerts)
☐ End-to-end capstone project

# .github/workflows/ci.yml
name: ci
on:
  push:
    branches: [main]
jobs:
  build-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      - run: pip install -r requirements.txt
      - run: pytest -q
      - run: docker build -t myapp:${{ github.sha }} .

Lab Quality Questions
1. How many hours of hands-on lab per week?
2. Do I get my own cloud lab environment?
3. Will I build at least one full CI/CD pipeline?
4. Are there troubleshooting labs with broken setups?
5. Is there a capstone project reviewed by a trainer?
6. Can I access labs outside class hours?

Weekly Time Budget
Class hours per week:        ____
Lab practice per week:       ____
Travel time per week:        ____
Total:                       ____

Rule of thumb: lab practice should be at least
equal to class hours. If travel eats that time,
consider a hybrid or online batch.

Support Checklist
☐ Doubt sessions outside class
☐ Recorded sessions for missed classes
☐ Resume review for DevOps roles
☐ Mock interviews with scenario questions
☐ Option to repeat a batch
☐ Fee, refund and inclusions in writing

DevOps Institute Scorecard (1-5)
                     Inst. A   Inst. B   Inst. C
Toolchain coverage     ___       ___       ___
Cloud lab access       ___       ___       ___
Pipeline project       ___       ___       ___
Troubleshooting labs   ___       ___       ___
Trainer in demo        ___       ___       ___
Location / format      ___       ___       ___
Support in writing     ___       ___       ___
TOTAL                  ___       ___       ___

Ask the trainer in the demo:
1. What happens when a Docker container keeps restarting? How do you debug it?
2. What is the difference between a Deployment and a Pod?
3. Why do teams use infrastructure as code?
Good trainers answer clearly and show a command or example.

My DevOps Learning Plan
Before joining: Linux basics + Git basics
Weeks 1-4: Linux, Bash, Git, networking
Weeks 5-8: Docker and CI/CD
Weeks 9-12: Kubernetes and cloud
After: Terraform + capstone + interview prep
(Adjust to the institute's actual schedule)