Build Production-Ready
Microservices & AI Systems 🚀

Free, open-source learning through a real-world FinTech system with 10+ microservices, event-driven architecture, and AI-ready patterns.

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Real-world polyglot microservices architecture

What You'll Learn Here 💡

🏗️

FinTech Microservices

Production patterns from real financial systems: budgets, transactions, goals, analytics.

Event-driven architecture
Domain-Driven Design
Polyglot persistence
Service mesh ready

🤖

AI Agent Integration

Build intelligent automation with modern AI tools and frameworks.

n8n workflow automation
CrewAI multi-agent systems
LLM-powered microservices
MCP server patterns

📈

Ship Real Products

From localhost to production with battle-tested patterns.

Docker & Kubernetes
Observability & monitoring
Security best practices
Free-tier deployments

The PFMS Project: Your Learning Playground 🛰️

Personal Finance Management System is a complete, production-grade reference architecture demonstrating enterprise patterns across a polyglot stack. Run the entire system with one command.

Backend Services

Spring Boot NestJS Go Python PHP

Messaging & Events

Kafka RabbitMQ

Infrastructure

Docker Eureka Consul PostgreSQL

🎯 What makes PFMS different from other learning projects?

Most microservices tutorials are toy examples. PFMS is a real system you could deploy to production:

✅ Complete authentication & authorization
✅ Event-driven with Kafka + RabbitMQ
✅ Multiple service discovery patterns
✅ Production observability setup
✅ Database-per-service pattern
✅ Containerized and orchestration-ready

🚀 How do I get started?

git clone https://github.com/delose/pfms.git
cd pfms
./run-pfms.sh

# Open http://localhost:3000
# Demo credentials: demo@pfms.dev / demo123

That's it! All 10+ microservices start automatically with pre-loaded demo data.

📚 What can I learn from the codebase?

API Gateway patterns: JWT auth, routing, load balancing
Event sourcing: Budget changes trigger Kafka events → notifications
Saga patterns: Distributed transactions across services
CQRS: Separate read/write models for analytics
Service mesh preparation: Ready for Istio/Envoy integration
AI integration: LLM-powered financial advisor service

AI Agents & Automation 🤖

Building intelligent systems that combine microservices with AI-powered automation. Practical guides on integrating LLMs, workflow automation, and multi-agent systems.

🔧 n8n Workflow Automation

Build no-code/low-code automation that integrates with your microservices:

Automated financial reports
Budget alert workflows
Multi-service orchestration
Webhook-driven processes

🧠 CrewAI Multi-Agent Systems

Coordinate multiple AI agents for complex tasks:

Financial analysis crew
Content generation pipeline
Code review automation
Documentation agents

Coming Soon: Dedicated tutorials on building profitable AI automation products, integrating Spring AI with microservices, and MCP server patterns for LLM tools.

Why Microservices + AI? 🎯

The future of software is modular intelligence. Microservices provide the architectural foundation, while AI agents add the intelligence layer. This combination enables:

🔌 Composable AI

Each microservice becomes an AI tool/function that LLMs can orchestrate

⚡ Selective Intelligence

Add AI to specific services (analytics, recommendations) without rewriting everything

📊 Context-Aware

AI agents access domain-specific data through well-defined service boundaries

💰 Revenue Ready

Ship AI-powered features as independent services with clear value props