Microservices with Spring Boot: Patterns That Actually Work in Production

Microservices promise scalability and independent deployability. In practice, many teams underestimate the operational overhead. Here are the patterns that genuinely move the needle.

Service discovery and load balancing Use Kubernetes Services or a service mesh (Istio, Linkerd) rather than hardcoding endpoints. Spring Cloud LoadBalancer works well for simpler setups without a full service mesh.

Circuit breakers Resilience4j is the standard choice for Spring Boot 3.x. Wrap external calls in circuit breakers to prevent cascading failures when a downstream service degrades.

Saga pattern for distributed transactions Forget distributed ACID transactions — they are expensive and brittle. Use the Saga pattern (either choreography or orchestration) to coordinate multi-service workflows with compensating transactions for rollback.

Event-driven communication Kafka or RabbitMQ for asynchronous communication reduces coupling dramatically. Publish domain events and let consumers react — this also gives you a natural audit log.

Centralised configuration and secrets Spring Cloud Config Server or HashiCorp Vault externalises configuration and keeps secrets out of your codebase. Never commit credentials.