Microservices Transformation
Led a team of 12 developers to transform a monolithic legacy system into a modern microservices architecture.
Technologies Used:
.NET CoreDockerKubernetesAzureSQL ServerMongoDBRabbitMQ
Microservices Transformation
Project Overview
As Technical Lead, I spearheaded the transformation of a business-critical monolithic application into a modern microservices architecture. This project was crucial for the company's technical modernization strategy and involved working with a team of 12 developers across multiple locations.
The Challenge
The legacy system had grown over 15 years into a complex, difficult-to-maintain monolith with:
- Over 2 million lines of code
- Multiple databases with complex dependencies
- Long release cycles (quarterly)
- Increasing technical debt
- Performance bottlenecks that couldn't be easily addressed
Technical Approach
We adopted a strangler pattern approach to gradually decompose the monolith:
- Service Identification: We conducted domain-driven design workshops to identify bounded contexts
- API Gateway: Implemented an API gateway as the entry point for all client requests
- Gradual Migration: Prioritized services based on business value and technical risk
- DevOps Transformation: Built a complete CI/CD pipeline with automated testing
- Monitoring and Observability: Implemented centralized logging, tracing, and metrics
Architecture
The new architecture consists of:
- Domain-oriented microservices with dedicated databases
- Event-driven communication using RabbitMQ
- Centralized authentication and authorization
- API gateway for client communication
- Comprehensive monitoring and alerting
Results
The transformation delivered significant business benefits:
- Deployment frequency increased from quarterly to daily
- 60% reduction in critical production issues
- 45% improvement in system performance
- Ability to scale individual components independently
- Teams able to work autonomously on separate services
Technologies Used
- .NET Core for service implementation
- Docker and Kubernetes for containerization
- SQL Server and MongoDB for data storage
- RabbitMQ for message queuing
- Azure DevOps for CI/CD
- Prometheus and Grafana for monitoring