3 years ago

Category: Business, Database, Kubernetes, Docker, automation

This is originally a technical term and describes a design pattern in which different services, programs, features are not dependent on a monolithic architecture. The aim is to minimize dependencies by thinking small and aiming big.

Big consulting firms have already inhaled the concept of microservices for their roadshows and gradually assume such microservices platforms to be available to demonstrate how their Data Analytics consulting arms can eventually serve different use cases.

Hence, it is important to carefully consider how a platform can cater to requirements by Data Scientists down the line.

A microservice will not be able to replace an experienced expert to inspect exceptions and take adequate actions to mitigate risk.