As engineering organizations scale out their service-oriented architectures, managing complex business transactions spanning multiple domains becomes increasingly difficult. The shift toward event-driven architectures promises loose coupling and high scalability, but it introduces severe challenges regarding distributed transaction visibility and state management. Engineers must carefully evaluate whether to rely on decentralized event choreography or introduce centralized orchestration engines to maintain system consistency.
Our backend transition involved migrating legacy sagas from a deeply intertwined choreography model, which suffered from hidden cyclic dependencies, to a managed orchestration layer using Temporal. By defining deterministic workflow topologies as code, we were able to abstract away the transient failure handling, retries, and compensation logic from the underlying domain workers. The underlying Kafka event fabric was retained strictly for domain event broadcasting, while command execution and saga state tracking were offloaded to the orchestration cluster.
This hybrid approach yielded a 40% reduction in mean time to resolution (MTTR) for distributed transaction failures and provided unprecedented observability into in-flight workflows. Ultimately, we discovered that while choreography excels in pure publish-subscribe data replication, orchestration is strictly necessary for managing complex, multi-step business mutations requiring transactional guarantees.