No More Free Lunch for Consistency Across Microservices
The article discusses the challenge of maintaining data consistency across microservices, arguing that developers can no longer rely on simple, free solutions like distributed transactions. It explores trade-offs in consistency models, such as eventual consistency and the Saga pattern, and highlights the operational complexity required to manage data integrity in distributed systems.
Background
This article examines the costs of achieving data consistency across microservices, written from a software engineering perspective. It challenges the common assumption that you can have strong consistency (where all parts of a system see the same data at the same time) "for free" when splitting a monolith into microservices. Key background: Microservices are an architectural style where an application is built as a set of small, independent services that communicate over a network, rather than one large program. This trades simplicity for scalability and team autonomy — but it also makes it hard to keep data in sync across services without performance penalties.