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Event-Driven Microservices Architecture

Enterprise-scale event-driven microservices platform using Domain-Driven Design principles, FastAPI async framework, and clean architecture patterns with bounded context isolation.

FastAPI SQLAlchemy PostgreSQL Docker DDD

Overview

An enterprise-scale event-driven microservices platform built using Domain-Driven Design principles to support critical university operations. The architecture leverages bounded contexts to isolate business domains, enabling independent development and deployment of services. Built with FastAPI for high-performance async processing and SQLAlchemy 2.0 for robust data management, the system handles complex workflows including scan analytics, student data integration, and real-time event processing.

Challenge

The existing monolithic system created tight coupling between business domains, making changes risky and deployments disruptive. As the university's digital operations grew, the monolith became a bottleneck for development velocity and system reliability. Different teams working on unrelated features would block each other during deployments. The system struggled to handle peak loads during registration periods and campus events.

Solution

Redesigned the system using event-driven microservices architecture with clear bounded contexts aligned to business domains. Implemented FastAPI for high-performance async request handling and SQLAlchemy 2.0 for database operations with async support. Applied Domain-Driven Design principles to identify aggregates, entities, and value objects within each bounded context. Built event sourcing infrastructure for audit trails and temporal queries.

Impact

Achieved 99.9% uptime supporting critical academic operations with zero downtime deployments. Successfully handled 500+ concurrent users during peak registration periods with sub-second response times. Reduced deployment risk by enabling independent service releases without system-wide downtime. Improved development velocity by 40% through clear bounded contexts enabling parallel team work.

Key Features

  1. Domain-Driven Design with bounded context isolation
  2. Event sourcing for complete audit trails and temporal queries
  3. Async processing with FastAPI for high concurrency
  4. Independent deployment of services without system downtime
  5. SQLAlchemy 2.0 with async support for efficient database operations