Technology

Microservices

Microservice architecture: service boundaries, asynchronous messaging, reliability and observability.

About the technology

I have applied microservice architecture for six years and treat it without dogmatism: it is a powerful tool for scaling teams and load, but it introduces the complexity of a distributed system that must be tamed deliberately. I never split a system into services for the sake of fashion — I draw boundaries by domains, relying on the principles of Domain-Driven Design and bounded contexts, so that each service owns its data and has a clear area of responsibility. Sharing a single database between services I consider an anti-pattern: each service has its own storage, and exchange happens through explicit contracts. I build synchronous interaction on REST and gRPC, but I move everything possible to asynchronous messaging through brokers (Kafka, RabbitMQ, NATS), which reduces coupling and increases resilience to temporary failures. For data consistency in a distributed environment I apply the saga pattern for long-running business transactions and the transactional outbox for reliable event publishing without loss or duplication. I build in fault tolerance from the start: timeouts, retries with exponential backoff and jitter, a circuit breaker to protect against cascading failures, idempotent handlers and graceful degradation, where part of the functionality is disabled but the system stays available. Observability in microservices is critical: I introduce structured logging with correlation IDs, Prometheus metrics and OpenTelemetry distributed tracing to see a request path through dozens of services and quickly localize a problem. I ensure operation through containerization and orchestration in Kubernetes, automatic releases via CI/CD and infrastructure as code. Separately I design service discovery, configuration, contract versioning and API backward compatibility to deploy services independently. I honestly weigh the trade-offs: for small products it is often wiser to start with a well-structured monolith and extract microservices as it grows and real reasons appear. This pragmatic approach lets you reap the benefits of a distributed architecture — independent scaling, failure isolation and team autonomy — without drowning in its operational complexity.

Experience

6 years in production

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