While the cloud offers great convenience and flexibility, the operational cost for applications deployed in the cloud can sometimes be significant. This article shows a way to substantially reduce operating costs in latency-sensitive Event-Driven Architecture (EDA) Java applications by migrating from Kafka to Chronicle Queue open-source, a more resource-efficient and lower-latency queue implementation.

What Is EDA?

An EDA application is a distributed application where events (in the form of messages or DTOs) are produced, detected, consumed, and reacted to. Distributed means it might run on different machines or the same machine but in separate processes or threads. The latter concept is used in this article whereby messages are persisted in queues.