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.
Application-Driven Network Architectures
The spread of hybrid cloud architectures has caused an evolution in the networking solutions used to connect everything.
Increasing the Velocity of FinTech Adoption
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 Unique Needs of FinTech Applications
The FinTech space is transforming. This transformation has been simmering for years and is just beginning to catch fire.
Healthcare Cloud Migrations: What You are Missing
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.
Cloud Networking is Like a Rock in Your Shoe
Many cloud networking solutions can feel similar to walking with a rock in your shoe.
Still Using Legacy Connectivity for Hybrid Cloud Architectures?
Public cloud. Multi-cloud. Data centers. On-premise hardware devices. Distributed application architectures.
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.
Reality Check…Not Everything is Moving to the Cloud
Moving processing workloads into the cloud has helped companies lower their operating costs and build modern IT environments with high availability and elasticity.
Connectivity and the SaaS Data Problem
The IT industry has been migrating from on-prem hardware and applications toward SaaS delivery for many years. This trend has accelerated as SaaS applications has become more feature rich, widely available, and generally accepted as cost advantageous.
Solving the Challenges of Cloud Migration
Many of us can list a handful of examples where companies had high levels of market penetration, profitability, and a competitive moat that seemed impenetrable…only to end up failing due to lack of innovation. Kodak, Blockbuster, Blackberry are all examples of organizations that failed to follow modern technology and remain relevant.