Two heterogeneous API servers—one Node.js, one Python—serve different clients while sharing a single primary database and read replica for consistency and scalability. Both API servers route write operations to the primary database and read operations through a shared cache layer, reducing database load and latency. This architecture demonstrates how polyglot microservices can coexist safely when coordinated through a unified data tier and caching strategy. Fork this diagram on Diagrams.so to customize API frameworks, add load balancers, or extend with message queues for asynchronous workloads. Consider adding circuit breakers and retry logic between API servers and the database to improve resilience in production environments.