Learning Objectives
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# Learning Objectives - Set up microservices architecture - Configure Docker containers - Implement message queuing - Docker Desktop installed - Redis/RabbitMQ installed - PostgreSQL installed - Kubernetes (optional) installed *(Diagram)* ## Step 1: Docker Compose ## Step 2: Flask Microservice Template - `docker-com...

Learning Objectives
- Set up microservices architecture
- Configure Docker containers
- Implement message queuing
- Docker Desktop installed
- Redis/RabbitMQ installed
- PostgreSQL installed
- Kubernetes (optional) installed (Diagram)
Step 1: Docker Compose
yaml# docker-compose.yml version: '3.8' services: auth-service: build: ./auth-service ports: - "5001:5000" core-service: build: ./core-service ports: - "5002:5000" postgres: image: postgres:15 environment: POSTGRES_DB: mad2db POSTGRES_PASSWORD: secret redis: image: redis:7-alpine
Step 2: Flask Microservice Template
python# service/app.py from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_jwt_extended import JWTManager app = Flask(__name__) app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://user:pass@postgres/dbname' db = SQLAlchemy(app) jwt = JWTManager(app) if __name__ == '__main__': app.run(host='0.0.0.0', port=5000)
docker-compose upstarts all services- Each service responds on its port
- Database migrations run
- Redis accessible
- Docker build fails: Check Dockerfile syntax
- Port conflicts: Change host port mappings
- DB connection: Check POSTGRES_PASSWORD matches
- Docker Compose works
- Multiple services deployed
- Inter-service communication working
- Redis/RabbitMQ configured
- Environment variables documented Join Discord NextMilestone 2: Database Design & ORM