How a Data Mesh Works

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

Cloud and the Data Gravity Problem

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

What is a Data Mesh?

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. 

Bringing Edge Data To SaaS

The cloud has reshaped the way that data and applications interact. No longer is an application sitting next to the data it consumes. Because many modern applications are now provided as a service, and don’t reside in a customer’s data center, it has become increasingly difficult for SaaS providers to connect to the data they need.