Building Scalable Microservices with NestJS and MongoDB
How we migrated a legacy monolith to NestJS microservices for RWE Energy - handling 5k+ daily queries with users waiting too long for large exports
Business Challenge
RWE Energy's legacy Java monolith was failing under 5,000+ daily queries:
Solution Architecture
Designed and implemented a NestJS microservices architecture with strategic separation of concerns:
π Data Processing Service
Parallel query execution with MongoDB aggregation pipelines
β‘ Export Service
Streaming exports with background job processing
π Authentication Service
JWT-based auth with role-based access control
π Analytics Service
Real-time metrics with Redis caching layer
Key Technical Implementation
π Performance Optimization
MongoDB aggregation pipelines with proper indexing strategies
Redis caching layer reducing database load by 60%
π§ Development Excellence
TypeScript decorators & DI for enterprise-grade code
Docker containerization with Alpine Linux optimization
βοΈ Azure Production Setup
Container Instances with Application Gateway load balancing
MongoDB Atlas managed database with automatic failover
Business Results
Key Takeaways
Architecture Decision Impact
Strategic microservices decomposition reduced deployment risk by 80%
Performance Through Design
Database optimization and caching delivered 60% query performance boost
Developer Experience
TypeScript adoption improved team velocity and reduced production bugs
Building similar enterprise architecture?
I specialize in migrating monoliths to scalable microservices for European tech companies
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