Welcome!

SDN Journal Authors: Liz McMillan, Pat Romanski, Elizabeth White, Yeshim Deniz, TJ Randall

News Feed Item

CPLANE NETWORKS Announces General Availability of Dynamic Virtual Networks

CPLANE NETWORKS, the leader in high-performance Software-Defined Networking (SDN), today announced the general availability of Dynamic Virtual Networks (DVN). DVN transforms static physical networks into virtualized resource pools that can be allocated on demand, significantly reducing the time and cost to deploy cloud applications.

“Enterprises and cloud service providers are moving from static infrastructure configuration to dynamic service orchestration,” said Brandon Williams, CEO of CPLANE NETWORKS. “OpenStack is the open source platform of choice for private and hybrid clouds. And we are Built for OpenStackTM.”

DVN is a software-only solution that seamlessly integrates with the OpenStack framework. “We replace the standard OpenStack Neutron network service with our scalable SDN controller to create high performance, highly available virtualized networks,” said John Casey, CTO and VP of Engineering. “We’ve eliminated a performance bottleneck and single point of failure in the Neutron network service – the Network Node. With DVN routing between virtual machines is now only a single hop.”

DVN streamlines the entire OpenStack service life cycle, starting with easy, automated deployment. Network provisioning is “zero touch” since the SDN controller maintains a centralized view of network topology and state and automatically pushes the appropriate flow rules to the compute nodes. By placing critical network functions locally at the compute node, network performance is dramatically improved. Finally, by utilizing openly supported components such as VXLAN and Open vSwitch combined with open APIs, migration to new OpenStack releases and technologies is easy. Pricing is based on a monthly subscription fee per compute node.

“New Context is proud to be a CPLANE NETWORKS integrator as it solves a critical networking challenge with OpenStack allowing companies to be able to scale their cloud environments,” said Daniel Riedel, CEO of New Context, an early adopter of DVN. “We’re changing the face of OpenStack networking,” said Brandon Williams. “Customers can finally enjoy the full range of compute, storage and networking benefits of cloud services.”

About CPLANE NETWORKS

CPLANE NETWORKS transforms the way data centers deploy agile cloud services by delivering high-performance virtual and physical network services. Leading the SDN revolution, CPLANE NETWORKS offers the scale, flexibility and control required to deliver the agility applications developers want and the predictability and reliability that IT operations demands.

www.cplanenetworks.com

OpenStack® and Built for OpenStackTM are trademarks of the OpenStack Foundation

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.