Saga / Distributed Transaction (Go, Kafka, PostgreSQL, Redis, gRPC, Docker) overview

A distributed transaction orchestration system implementing the Saga pattern in Go, where long-running business processes spanning multiple microservices are coordinated through a sequence of local transactions with compensating actions for rollback. Kafka serves as the durable event backbone, ensuring exactly-once delivery semantics for saga step transitions. Each participant service exposes gRPC endpoints for forward and compensating operations, with PostgreSQL storing local transaction state. Redis provides distributed locking and idempotency keys. Prometheus and Grafana monitor saga completion rates and latency. The tradeoff is significant complexity in designing compensation logic and handling partial failures, but the pattern enables consistent distributed workflows without two-phase commit.