Analysis

Modern data centers employ IT automation to cut costs and inject agility

There are several advanced features that make up an enterprise-grade SD-WAN, including load balancing, optimization, and real-time visibility.

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.

A key driver for SD-WAN is that it can be used to intelligently optimize and secure connections to the cloud.

Carrier virtualization, programmability and the massive data sets from machine learning and analytics are driving new requirements for data centers.

Defining a set of security and compliance policies is a key first step. But enforcing security policy is not as easy.

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.

When it comes to making the business case for software-defined wide area networking), the good news is that the business case is compelling.

Virtualizing the data center may make it more efficient and agile but additional processing power may be needed.

SD-WAN adoption is growing quickly as IT organizations become aware of the benefits of this approach to networking.

Network virtualization is making microsegmentation possible and allowing networks to isolate security breaches.

Microsegmentation of virtual networks spanning both private and public clouds is critical to Deluxe’s return on investment.