Microservices for Scaling Startups

Microservices aren't always the answer — but when your monolith is slowing down your team and your scale demands it, we know how to do the transition right. We design bounded contexts, implement event-driven communication, and establish the operational practices that make microservices successful rather than creating distributed complexity.

• Domain-Driven Design — Identify natural service boundaries using DDD principles, ensuring each service owns its data and has clear interfaces.
• Event-Driven Architecture — Implement async communication with message queues, event sourcing, and CQRS patterns for decoupled, resilient services.
• API Gateway & Service Mesh — Deploy API gateways for external traffic and service meshes for internal communication with observability built in.
• Independent Deployment — Set up per-service CI/CD pipelines, feature flags, and canary deployments so teams can ship independently and safely.
• Data Sovereignty — Design database-per-service patterns with eventual consistency, sagas for distributed transactions, and data sync strategies.
• Observability at Scale — Implement distributed tracing, centralized logging, and service dependency maps for debugging across service boundaries.

We build microservices using Node.js, Python, or Go depending on service requirements. Communication via Apache Kafka or RabbitMQ for events, gRPC for synchronous calls, and Kubernetes for orchestration. Each service gets its own PostgreSQL or Redis instance with Docker-based local development.

Series B+ startups whose monolith is becoming a bottleneck for team velocity or scale. If multiple teams are stepping on each other's code, deployments are risky, or single components can't scale independently, it's time to consider microservices.