Welcome!

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

Related Topics: @CloudExpo, Microservices Expo, Containers Expo Blog, Cloud Security, @DXWorldExpo, SDN Journal

@CloudExpo: Article

Dimension Data Introduces WAN Optimization Across Its Global Cloud

New capabilities accelerate application delivery and network performance across Dimension Data’s Global Cloud Exchange

Dimension Data announced on Tuesday that it has introduced WAN optimization capabilities to its cloud globally. By deploying WAN optimization technology in Dimension Data's Managed Cloud Platform (MCP) cloud data centers, Dimension Data clients are reporting a significant increase in application performance across the entire cloud. Organizations using the cloud for database replication, file synchronization, and backup and disaster recovery between data centers have realized the greatest improvement in performance. An enhanced capability, WAN optimization is provided as part of the company's standard public cloud Infrastructure-as-a-Service (IaaS) offering at no additional charge.

According to Steve Nola, CEO of Dimension Data's Cloud Solutions Business Unit, "we are helping our clients overcome the latency and bandwidth constraints often associated with public cloud services."

Dimension Data has implemented WAN optimization controller (WOC) appliances in its MCPs in San Jose, Calif. and Ashburn, Va., U.S.; Amsterdam, The Netherlands; Sydney, Australia; and Johannesburg, South Africa. Traffic moving between these sites is encrypted over a VPN tunnel and optimized for delivery using deduplication and application-specific protocol optimization.

"No other cloud provider offers a core that is optimized for acceleration," Nola continued. "By providing optimal network and cloud performance, in addition to flexibility and ease of use, we provide organizations the ability to speed the process of migrating their data and applications to the cloud."

Additionally, Dimension Data has been working on several other enhancements to increase the overall performance and reliability of its cloud offering. In December, Dimension Data introduced two new capabilities:

  • Server Anti-Affinity: Increases resiliency by allowing end users to configure a rule ensuring two cloud servers do not reside on the same physical host. If a physical host fails, only one of the two cloud servers will be affected, increasing resiliency.
  • Global Import and Export: Allows users to import and export images from the cloud to their own data center or between MCPs. This makes it easy to move workloads between different cloud data centers through the Web-based administrative user interface or the REST-based API.

Dimension Data's cloud services are delivered on its MCP, a fully managed cloud delivery platform. Hosted within a Dimension Data or client data center, the MCP is comprised of cloud infrastructure (servers, storage, networking, virtualization and operating system software) and Dimension Data CloudControlTM, a cloud management system that provides operational control and automation of cloud resource provisioning, orchestration, administration and billing. Dimension Data's public cloud services can be accessed globally via its public MCPs in San Jose, Calif., and Ashburn, Va., U.S.; Amsterdam, The Netherlands; Sydney, Australia; Johannesburg, South Africa; and Hong Kong.

Dimension Data's WAN optimization capability is immediately available as part of its cloud offerings.  For more information, please visit www.dimensiondata.com/cloud.

More Stories By Elizabeth White

News Desk compiles and publishes breaking news stories, press releases and latest news articles as they happen.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


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.