Welcome!

@CloudExpo Authors: Pat Romanski, Elizabeth White, Zakia Bouachraoui, Liz McMillan, Yeshim Deniz

News Feed Item

CoreSite Realty Corporation Schedules Fourth Quarter 2012 Earnings Release and Conference Call

CoreSite Realty Corporation (the “Company”) (NYSE: COR), a national provider of powerful, network-rich data centers, today announced the Company will release its fourth quarter 2012 financial results prior to market open on Friday February 22, 2013, to be followed by its quarterly conference call at 12:00 p.m. (Eastern time).

The call will be accessible by dialing +1-877-407-3982 (domestic) or +1-201-493-6780 (international). A replay will be available until March 1, 2013 and can be accessed shortly after the call by dialing +1-877-870-5176 (domestic) or +1-858-384-5517 (international). The passcode for the replay is 407943.

The quarterly conference call will also be offered as a simultaneous webcast, accessible by visiting www.coresite.com and clicking on the “Investors” tab. An on-line replay will be available for a limited time immediately following the call.

About CoreSite

CoreSite Realty Corporation (NYSE: COR) is the data center provider chosen by more than 750 of the world's leading carriers and mobile operators, content and cloud providers, media and entertainment companies, and global enterprises to run their performance-sensitive applications and to connect and do business. CoreSite propels customer growth and long-term competitive advantage through the CoreSite Mesh by connecting the Internet, private networking, mobility, and cloud communities within and across its 14 high-performance data center campuses in nine markets in North America. With direct access to 275+ carriers and ISPs, over 180 leading cloud and IT service providers, inter-site connectivity, and the nation's first Open Cloud Exchange that provides access to thousands of lit buildings and multiple key cloud on-ramps, CoreSite provides easy, efficient and valuable gateways to global business opportunities. For more information, visit www.CoreSite.com.

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
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the public cloud best suits your organization, and what the future holds for operations and infrastructure engineers in a post-container world. Is a serverless world inevitable?
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.
Wooed by the promise of faster innovation, lower TCO, and greater agility, businesses of every shape and size have embraced the cloud at every layer of the IT stack – from apps to file sharing to infrastructure. The typical organization currently uses more than a dozen sanctioned cloud apps and will shift more than half of all workloads to the cloud by 2018. Such cloud investments have delivered measurable benefits. But they’ve also resulted in some unintended side-effects: complexity and risk. End users now struggle to navigate multiple environments with varying degrees of performance. Companies are unclear on the security of their data and network access. And IT squads are overwhelmed trying to monitor and manage it all.
Machine learning provides predictive models which a business can apply in countless ways to better understand its customers and operations. Since machine learning was first developed with flat, tabular data in mind, it is still not widely understood: when does it make sense to use graph databases and machine learning in combination? This talk tackles the question from two ends: classifying predictive analytics methods and assessing graph database attributes. It also examines the ongoing lifecycle for machine learning in production. From this analysis it builds a framework for seeing where machine learning on a graph can be advantageous.'
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.