May 16, 2012
Customers now have access to leading Search-as-a-Service and cloud database providers
PORTLAND, Ore., May 16 — AppFog, the leading cloud-based platform-as-a-service (PaaS), today announced two additional third-party service providers to its growing add-on program, Searchify and Xeround. With this most recent addition, the budding add-on program will grow to 10 partners offering their services to bolster AppFog capabilities, including ClearDB, CloudMailin, Blitz.io, Iron.io, New Relic, MongoLab, MailGun, and MongoHQ.
"As we continue to grow our ecosystem, it's great to bring on new partners like Searchify and Xeround, which helps us further our goal of delivering the best, most comprehensive ecosystem for our developers," said Lucas Carlson, founder and CEO of AppFog. "These two companies are integral for development teams because they keep numerous business' applications and sites running smoothly. With Searchify and Xeround, our users now have an even richer environment to work within."
The add-on program, which was launched in December 2011, brings together nearly a dozen partner providers offered by the AppFog ecosystem platform. With the growing ecosystem, it makes it easy for developers to pick and choose third party service providers to help build and manage highly reliable and scalable applications through the intuitive interface. AppFog has received an overwhelming response from customers thus far, and the company plans to continue expanding the partner ecosystem throughout the year to meet the needs of its users.
"Searchify fits in nicely with AppFog's entrepreneur enabler vision," said Chris Lamprecht, founder of Searchify. "Whether it's a small side-project, or searching through millions of documents a hundred times per second, with AppFog and Searchify, it's easy to get an awesome search application up and running quickly."
"Xeround Cloud Database offered as an add-on for PHP Fog showcases our traction and the increasing demand for developing MySQL apps on multiple cloud platforms," said Razi Sharir, CEO of Xeround. "Now even more developers can develop in the cloud using their chosen platform and enjoy the no-downtime guarantee and true elasticity of Xeround's zero-management database service."
AppFog is a complete cloud-based PaaS solution used by tens of thousands of developers to quickly and easily deploy applications to the cloud. By collaborating with its users to understand pain points, AppFog has delivered an innovative platform, supporting PHP, Python, Ruby, Java, Node.js and Perl, that automates the deployment, scaling and management of cloud applications, so developers can focus on their code. Backed by a strong user community, the company is known for its rock-solid service and support along with its commitment to the open source Cloud Foundry project.
PHP Fog customers can visit the add-ons catalog at http://phpfog.com/addons. Once an add-on is selected, developers can immediately start using the service. Searchify and Xeround support is now available.
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AppFog, Inc. is the creator of leading platform-as-a-service products AppFog and PHP Fog. With robust multi-language and multi-infrastructure support, AppFog is the leading modern and agnostic PaaS, while PHP Fog is the best PHP PaaS on the market today. Used by developers worldwide to deploy tens of thousands of applications, AppFog's products make developers' lives easier by delivering a reliable, scalable and fast managed platform for deploying applications in the cloud. AppFog is a private company headquartered in Portland, Oregon. To learn more, visit http://www.appfog.com.
Source: AppFog, Inc.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
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.
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The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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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.
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