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Legacy API Modernization

Migrated monolithic REST API to microservices architecture with improved performance.

Problem

Monolithic API was difficult to maintain, deploy, and scale. Single point of failure affected entire system.

Solution

Incrementally extracted services into microservices while maintaining backward compatibility with existing clients.

Role & Ownership

Backend Developer

Analyzed monolith and identified service boundaries
Built migration strategy and timeline
Implemented new microservices
Maintained API compatibility during transition

Architecture

Microservices architecture with domain-driven design
Node.js with Express for each service
Message queue for inter-service communication
API Gateway for routing and authentication
Docker Compose for local development

Technical Challenges & Tradeoffs

Zero-downtime migration

Implemented strangler fig pattern, routing traffic gradually to new services.

Data consistency across services

Used event sourcing and saga pattern for distributed transactions.

Deployment & CI/CD

Kubernetes cluster with automated scaling based on load. CI/CD pipeline with automated testing and canary deployments.

Outcomes

Reduced deployment time from 2 hours to 15 minutes
40% improvement in API response times
Independent service scaling reduced infrastructure costs by 25%
Increased development team velocity

Lessons Learned

Incremental migration was key to managing risk
Service boundaries should align with business domains
Comprehensive monitoring essential for distributed systems