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.
The spread of hybrid cloud architectures has caused an evolution in the networking solutions used to connect everything.
FinTech has exploded over the last decade. The community banking and credit union industries are craving additional features, customer experiences and way to differentiate themselves, and innovation in FinTech is allowing them to do it.
The FinTech space is transforming. This transformation has been simmering for years and is just beginning to catch fire.
Millions depend on the accuracy, reliability and security of healthcare technology. As the healthcare industry evolves it has been forced to deal with the demands of new features, growing data sets, and interoperability between organizational boundaries.
Many cloud networking solutions can feel similar to walking with a rock in your shoe.
Public cloud. Multi-cloud. Data centers. On-premise hardware devices. Distributed application architectures.
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.