CQRS

🇬🇧 Read the English version of this article on tanhdev.com 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. 1. Lý do Kiến trúc: Tại sao chọn Go + NATS JetStream cho Microservices Event-Driven Trong các kiến trúc cloud-native hiện đại, việc mở rộng quy mô hệ thống phân tán vượt ngưỡng hàng chục nghìn giao dịch mỗi giây (TPS) bộc lộ những nút thắt cổ chai nghiêm trọng trong mô hình request-response truyền thống. 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. ...