As applications become centralized, the data resources that they need to operate find themselves in places that are harder and harder to reach. This has presented challenges for product and engineering teams who want to expand product offerings and simplify management of applications but are stuck having to deal with data resources that must remain
Our customers always come to us with a problem… “I want to get data from the factory floor to my cloud application” “My customer wants to run my application on-premise, but we don’t deploy our applications onsite.” “My data is scattered across multiple data centers and I can’t replicate it centrally” I could go on
The term data gravity, which was initially coined by GE Engineer Dave McCrory in a 2010 blog post, refers to the ability of large amounts of data to attract applications, services, and other data. In this context, the bigger the data, the more that applications and services will be drawn to it. Similar to The
A service mesh is a software infrastructure that facilitates communications between microservices. It is used to control how different parts of an application integrate with each other. This prevents monolithic application architecture by allowing applications to be broken down to a collection of services that can be built, maintained and improved independent of the others.