April 11, 2012
Cloudant and Joyent partnership provides scalable platform for big data application developers
SAN FRANCISCO, and BOSTON, April 11 — Joyent Cloud, the public cloud designed for real-time, high-performance applications, and Cloudant, provider of a scalable Data Layer as a Service for data-driven web and mobile applications, today announced a partnership to provide developers with the ability to store, analyze and distribute application data across a global network of secure, high-performance data centers. Joyent Cloud provides public and private cloud computing software and services to popular Web applications including LinkedIn, Voxer, Gilt Groupe and TaskRabbit. Aside from Cloudant, Joyent Cloud also powers a growing number of cloud platform and software services providers including Nodejitsu, StackMob, and GameSalad.
By using Cloudant, Joyent customers can scale their application data layer up or down on demand through a simple management interface. "Making the Cloudant data layer available on Joyent Cloud helps ensure that our customers' applications run flawlessly at any scale," said Cloudant CEO Derek Schoettle. "This is particularly important for the data-intensive, real-time applications that many Cloudant and Joyent Cloud customers run."
The Cloudant Data Layer is a collection of multi-tenant and single-tenant (private) database clusters that are hosted and scaled across multiple top-tier data centers around the globe. Built on the Apache CouchDB document database, a RESTful JSON API, and built-in full-text search and incremental MapReduce, Cloudant delivers low-latency, highly-available data layer performance and pushes dynamic data closer to the edge. "Running on Joyent Cloud enables Cloudant to take advantage of specific caching and data backup features in the ZFS file system and deliver outstanding data layer performance and reliability," says Cloudant CTO Adam Kocoloski.
"This partnership creates a superior customer offering that leverages our high-performance cloud infrastructure and Cloudant's innovative data layer service to deliver a truly scalable big data store in the cloud to end customers," said Steve Tuck, general manager of Joyent Cloud. "Having Cloudant offer their service on Joyent Cloud further validates our premise – that for companies seeking to deliver high-performance cloud services, building on a better, differentiated cloud infrastructure matters more than ever."
Cloudant, the company that builds and manages The Cloudant Data Layer, was founded in Cambridge Mass., in 2008 by three MIT Physicists. Frustrated by the available tools for managing and analyzing Big Data in their research, the founders set out to build a distributed, fault-tolerant, globally scalable data layer for applications, a platform that would free developers to focus on their applications knowing that they would never outgrow their data layer. Cloudant's service helps power thousands of applications in organizations of all shapes and sizes, from lone developers to the Fortune 100. The Cloudant team is composed of experts in distributed systems, database technology, web services, and Big Data analysis. It proudly counts Avalon Ventures and Y Combinator among its investors. For more information about the company, The Data Layer, or to sign up for Cloudant's managed service, visit http://cloudant.com.
Source: Joyent Cloud; Cloudant
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.