Data protection is one of the first applications most IT organizations will deploy across a hybrid cloud.
Network virtualization overlays will determine winner of hybrid cloud computing race.
Modern data centers employ IT automation to cut costs and inject agility
Pharmaceutical firm OpenEye Scientific is using SD-WAN as a more efficient way to expand its AWS footprint.
The IT industry has a selection of tools for deploying containers. They can use a PaaS or a CaaS based on Kubernetes, Marathon, or Docker.
Carrier virtualization, programmability and the massive data sets from machine learning and analytics are driving new requirements for data centers.
The SD-WAN architecture is well suited for the cloud because a company can install a WAN CPE but manage the system from the cloud.
Some organizations are starting to use SD-WANs to securely access cloud services over business-class Internet connections.
With machine learning, big data, cloud, and NFV initiatives invading the data center, there are implications for data center networking performance.
Virtualizing the data center may make it more efficient and agile but additional processing power may be needed.
Hyperconverged infrastructure requires IT organizations to consider a scale out architecture.
While cloud computing represents a significant advance, it's really the network edge computing phenomenon that will transform the digital end user experience.
Soon it will be difficult to tell where one cloud begins and another one ends.
While software-defined networking (SDN) and network function virtualization (NFV) don’t necessarily require each other to add value to an enterprise, they are collectively being joined at the proverbial hip.
Amazon Web Services illustrates the growing importance of offloading network services from servers using NICs.