Dockerize TaskFlow Frontend & Backend Lab
Create optimized Docker images for the TaskFlow frontend (Vue.js with multi-stage build) and backend (Python FastAPI). Add health check endpoints and test containers locally.
Lab Overview
🛠Lab from the Platform Engineering Bootcamp. Used in Week 7. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/platform-engineering-bootcamp Parent course(s):
- Week 7: Docker Fundamentals (slug: docker-fundamentals)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running TaskFlow project that grows across all 21 weeks of the bootcamp.
In this hands-on lab, you'll containerize both tiers of the TaskFlow reference application you set up in Week 5. You'll create a multi-stage Dockerfile for the Vue.js frontend (build with Node, serve with Nginx) and a Python Dockerfile for the FastAPI backend with health checks.
This is your first time containerizing a real application, and you'll see how Docker makes deployment consistent across environments. You'll also write actual Python code to add a health check endpoint to the backend API.
What You'll Learn
Write a multi-stage Dockerfile for a Python FastAPI backend with health check endpoints
Configure Docker HEALTHCHECK instructions using the application's /health endpoint
Build a multi-stage Dockerfile for a Vue.js frontend using nginx to serve static assets
Test a complete containerized full-stack application with backend and frontend communicating
Apply Dockerfile best practices including layer caching, non-root users, and minimal base images
Prerequisites
taskflow-setup-automation
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