Tag: data processing

A complete microservice includes service management (registration/discovery/logoff), service gateway, service fault tolerance, service communication, service monitoring, service security, deployment, etc. It is often unrealistic to use the native development language to develop from scratch, so the existing microservice development framework is usually used to build when implementing microservices, such as Spring cloud, Dubbo, Istio, etc. In microservices, data processing is the core, and it is also where the workload is large and the framework itself cannot help. For analytical businesses, data computing is the core of the core. This article will discuss and compare the methods of implementing data computing

The general trend of contemporary Java application frameworks is towards the separation of data storage from data processing, aiming to be more maintainable, more scalable and more migratable. One typical example is the currently hot microservices. The new framework requires that business logic, rather than performed in the database as the conventional framework designs, should be implemented within the Java program. On most occasions, the business logic in an application involves structured data processing. Databases (based on SQL) give a lot of supports for the processing, enabling to implement the business logic in a relatively simple way. Such supports, however,