Microservices Transformation

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:

  1. Service Identification: We conducted domain-driven design workshops to identify bounded contexts
  2. API Gateway: Implemented an API gateway as the entry point for all client requests
  3. Gradual Migration: Prioritized services based on business value and technical risk
  4. DevOps Transformation: Built a complete CI/CD pipeline with automated testing
  5. 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