Microservices architecture has become the de facto standard for building large-scale applications. At Apie Tech, we have refined our approach through dozens of production deployments.
///Why Microservices?
Monolithic applications work well for small teams, but as your product grows, they become a bottleneck. Microservices give you independent deployability, technology flexibility, and team autonomy.
///Our Architecture Stack
- ▸Runtime: Node.js with TypeScript for type safety
- ▸Containerization: Docker with multi-stage builds
- ▸Orchestration: Kubernetes on AWS EKS
- ▸Service Mesh: Istio for traffic management and observability
- ▸Messaging: RabbitMQ for async communication
///Service Decomposition Strategy
We follow domain-driven design (DDD) to identify service boundaries. Each service owns its data and exposes a well-defined API contract.
Key Principles
- ▸Single responsibility per service
- ▸Database per service (no shared databases)
- ▸API-first design with OpenAPI specs
- ▸Event-driven communication for cross-service workflows
///Observability
Distributed systems need robust observability. We implement the three pillars:
- ▸Logging: Centralized with ELK stack
- ▸Metrics: Prometheus + Grafana dashboards
- ▸Tracing: Jaeger for distributed request tracing
///Lessons Learned
The hardest part of microservices is not the technology — it is getting the service boundaries right.
Start with a modular monolith. Extract services only when you have clear domain boundaries and team ownership. Premature decomposition creates more problems than it solves.