Microservices Architecture: Building Afto for Scale
Why we chose microservices and how we manage complexity in a distributed system.
Microservices at Afto
As Afto grew, we transitioned from a monolith to microservices architecture. This post shares our journey, the challenges we faced, and the patterns that work for us. Our system now consists of 25+ microservices handling different aspects of automation.
Why Microservices: Independent scaling of services, technology flexibility per service, isolated failures, faster deployment cycles, team autonomy. Each service owns its domain: API Gateway, Auth Service, Workflow Engine, Integration Service, AI Service, Notification Service, Analytics Service, Billing Service.
Service Communication: We use a hybrid approach with REST for synchronous requests, gRPC for internal high-performance calls, message queues for async events, and webhooks for external integrations. Event-driven architecture with RabbitMQ ensures loose coupling and reliability.
Managing Complexity: Service discovery with Consul, distributed tracing with Jaeger, centralized logging with ELK stack, API versioning, circuit breakers for resilience. Monitoring: Prometheus for metrics, Grafana for dashboards, PagerDuty for alerts. Result: 99.9 percent uptime, sub-second response times. Learn more about our platform at /contact
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