How do I design eventual consistency with the Saga Pattern in a distributed system?
Split the transaction into local steps with compensating actions, driven by one orchestrator over a queue, each idempotent and published through an outbox.
Tag
Service boundaries, inter-service calls and the price a distributed system pays.
5 answered questions carry this tag.
Split the transaction into local steps with compensating actions, driven by one orchestrator over a queue, each idempotent and published through an outbox.
For most greenfield products, start with a modular monolith and enforce boundaries in code, promoting a module to a service only when it must scale alone.
Shift payments at the gateway by 5/20/100 and validate in shadow first; the real work is splitting the tables, behind an anti-corruption layer and outbox.
Standardize on W3C Trace Context, leave propagation to the OTel SDK, and put traceparent in the queue message header, since that is where the chain snaps.
For heavy Laravel-Go traffic pick Protobuf plus a schema registry, keep JSON Schema for light traffic, and deserialize into a typed DTO at the boundary.