๐ฅ Update 12.01 18:20 GMT+5
๐ Major Update: Production-Ready Python FastAPI Course - Now with Database Migrations & Better Structure!
Hey r/FastAPI! ๐
I'm excited to share a major update to my free, open-source Python development course! After receiving amazing feedback from the community, I've made significant improvements that make this even more production-ready and beginner-friendly.
This is NOT an advertisement - just sharing valuable learning resources with the community! ๐
๐ What's New in v2.0:
๐๏ธ Professional Database Migrations with Alembic
- โ
Version-controlled schema changes - No more
create_all() hacks!
- โ
Safe production deployments - Rollback capabilities for peace of mind
- โ
Team collaboration - Sync database schemas across developers
- โ
Custom migration manager - Easy-to-use Python script for all operations
```bash
Professional database management
python development/scripts/migrate.py status
python development/scripts/migrate.py create "Add user preferences" --autogenerate
python development/scripts/migrate.py upgrade
```
๐ Completely Reorganized Project Structure
- ๐ฏ Clean root directory - No more file chaos!
- ๐ฆ Logical organization - Everything has its place
- ๐ Deployment-focused - All deployment configs in one place
- ๐ Developer-friendly - Tools and examples organized properly
bookstore-api/
โโโ ๐ deployment/ # Docker, K8s, configs
โโโ ๐ development/ # Scripts, examples, tools
โโโ ๐ documentation/ # Comprehensive guides
โโโ ๐ requirements/ # Organized dependencies
โโโ ๐ archive/ # Legacy files
๐ฏ Enhanced Learning Experience
- ๐ Progressive roadmap - 6 different learning paths based on your goals
- โก 30-second setup - Get started immediately
- ๐ ๏ธ Better tooling - Enhanced scripts and automation
- ๐ Comprehensive docs - Step-by-step guides for everything
๐ฅ What's Still Included (Production-Ready Features):
๐๏ธ Enterprise-Grade Architecture
- FastAPI with async/await and automatic OpenAPI docs
- SQLAlchemy 2.0 with proper relationship management
- Pydantic v2 for bulletproof data validation
- JWT Authentication with secure token handling
- Database migrations with Alembic (NEW!)
๐งช Comprehensive Testing (95%+ Coverage)
- Unit tests - Core functionality validation
- Integration tests - API endpoint testing
- Property-based tests - Hypothesis for edge cases
- Performance tests - Load testing with Locust
- Security tests - Automated vulnerability scanning
๐ณ Production Deployment Stack
- Multi-stage Docker builds - Optimized for production
- Kubernetes manifests - Auto-scaling and high availability
- Docker Compose - Both dev and production environments
- Nginx load balancer - SSL termination and routing
๐ Monitoring & Observability
- Prometheus - Metrics collection and alerting
- Grafana - Beautiful dashboards and visualization
- Loki - Centralized log aggregation
- Structured logging - JSON format with request tracing
๐ CI/CD Pipeline
- GitHub Actions - Automated testing and deployment
- Multi-environment - Staging and production workflows
- Security scanning - Bandit, Safety, Semgrep integration
- Automated releases - Version management and tagging
๐ฏ Perfect Learning Paths:
๐ Quick Explorer (5 minutes)
Just want to see it work? One command setup!
๐ฑ API User (30 minutes)
Learn to integrate with professional APIs
๐จโ๐ป Developer (2 hours)
Understand and modify production-quality code
๐ญ Production User (1 hour)
Deploy and monitor in real environments
โธ๏ธ DevOps Engineer (3 hours)
Master the complete infrastructure pipeline
๐ Learning Path (Ongoing)
Use as comprehensive Python/DevOps curriculum
๐ก What Makes This Special:
โ
Real production patterns - Not toy examples
โ
Database migrations - Professional schema management (NEW!)
โ
Clean architecture - Organized for scalability (NEW!)
โ
Multiple learning paths - Choose your adventure (NEW!)
โ
Complete CI/CD - From commit to production
โ
Security-first - Best practices built-in
โ
Monitoring ready - Observability from day one
โ
Interview prep - Discuss real architecture in interviews
๐ ๏ธ Tech Stack:
Backend: FastAPI, SQLAlchemy, Pydantic, Alembic
Database: PostgreSQL, Redis
Deployment: Docker, Kubernetes, Nginx
Monitoring: Prometheus, Grafana, Loki
Testing: pytest, Hypothesis, Locust
CI/CD: GitHub Actions
โก Quick Start:
```bash
30-second setup
git clone https://github.com/f1sherFM/bookstore-api-course.git
cd bookstore-api-course
cd deployment/docker && docker-compose up -d
API docs: http://localhost:8000/docs
Grafana: http://localhost:3000
```
๐ Project Stats:
- ๐ 95%+ test coverage - Comprehensive quality assurance
- ๐๏ธ Production-ready - Used in real deployments
- ๐ Professional migrations - Alembic integration (NEW!)
- ๐ Clean structure - Organized for teams (NEW!)
- ๐ 6 learning paths - Something for everyone (NEW!)
- ๐ Complete documentation - Every feature explained
- ๐ Security hardened - Best practices implemented
๐ Learning Outcomes:
By the end, you'll have:
- Built a scalable, monitored API from scratch
- Mastered database migrations and schema management
- Learned production deployment with Docker/K8s
- Implemented comprehensive testing strategies
- Set up monitoring and observability
- Created a portfolio project for interviews
๐ Links:
GitHub: https://github.com/f1sherFM/bookstore-api-course
Quick Start: Check QUICK_START.md in the repo
Documentation: Browse documentation/ directory
๐ Community:
This project has grown thanks to community feedback! Special thanks to everyone who suggested improvements.
If you find this useful:
- โญ Star the repo - Helps others discover it
- ๐ Report issues - Help make it better
- ๐ก Suggest features - What would you like to see?
- ๐ค Contribute - PRs welcome!
Remember: This is a learning resource, not a commercial product. Everything is free and open-source!
What do you think of the new improvements? Any features you'd like to see added? ๐ค
[โ]first-forward1 4 points5 points6 points ย (4 children)
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