Building High-Throughput Event-Driven Microservices in Go with NATS JetStream and CQRS
Answer-first: Building high-throughput event-driven microservices in Go using NATS JetStream and CQRS separates write mutators from read projections via a Raft-backed log. NATS JetStream provides sub-millisecond latency, native message deduplication (Nats-Msg-Id), stream retention, and durable pull consumers. Microservices achieve >100,000 ops/sec, eliminating database write contention and ensuring at-least-once delivery guarantees. Section 1: Architectural Rationale: Why Go + NATS JetStream for Event-Driven Microservices In modern cloud-native architectures, scaling distributed systems beyond tens of thousands of transactions per second (TPS) exposes severe bottlenecks in conventional request-response paradigms. Traditional microservices built around synchronous HTTP/REST or gRPC backplanes frequently encounter database write contention, connection pool exhaustion, and cascading latency spikes whenever traffic bursts hit downstream storage layers. When a single database handles both complex mutation transactions (commands) and heavy analytical join queries (reads), row-level locks and index maintenance stall throughput, inflating p99 latencies from milliseconds to seconds. ...