October 13, 2010
SAN FRANCISCO, CA., October 13, 2010 -- Engine Yard, the leading Platform-as-a-Service for Ruby on Rails, today announced the company is expanding its support of open source software to ensure an API neutral interface exists for Ruby applications, so they may move between various Infrastructure-as-a-Service (IaaS) providers.
Engine Yard now formally supports fog, the leading cloud computing library for Ruby applications and a component in the Engine Yard application platform. Specifically, Wesley Beary the creator of fog and engineer at Engine Yard has transitioned to a new role where he will lead the project and manage its community of contributors full-time.
The fog library is an abstraction layer to provision cloud resources across the increasingly vast array of cloud providers. Currently supported services include: Amazon Web Services, Terremark, VMware vCloud, Rackspace, Blue Box, Go Grid, Linode, New Servers, and Slicehost and VMware vCloud™-based services.
"As a VMware vCloud™ API implementation in Ruby, we're excited to see Engine Yard formalize its investment in fog," said Jian Zhen, director of cloud solutions at VMware. "With fog, Ruby developers can quickly deploy and integrate applications into both public and private VMware vCloud-based services."
Fog is more than a library for popular Platform-as-a-Service (PaaS) technologies such as Engine Yard's AppCloud or xCloud products. It is the ideal library to replace the use of IaaS specific-libraries because it ensures applications are deliberately independent from an IaaS vendor before they are deployed or migrated to the Cloud.
"There's so much change and momentum across a growing number of competing Cloud vendors and stakeholders. It's critical to the health of the overall Cloud ecosystem to ensure fog is a strong community project that is maintained," said Tom Mornini, Co-founder and CTO at Engine Yard. "Fog helps ensure the portability of applications between IaaS vendors, which increases enterprise confidence in moving their applications to the cloud."
IaaS vendors that would like their infrastructures supported by fog are invited to review the contributors guide at: http://wiki.github.com/geemus/fog/contributors-guide
Developers can download fog at: http://github.com/geemus/fog
About Engine Yard, Inc.
Engine Yard is the leading provider of automation technologies and services for Ruby on Rails, including the Engine Yard AppCloud and xCloud, Platform-as-a-Service (PaaS) products. Over 1,500 companies rely on Engine Yard PaaS products for easy-to-use, automated Rails application deployment and management. Engine Yard helps development teams realize productivity gains and cost savings by eliminating the operational overhead of managing application deployment and complex infrastructures. A significant contributor to the advancement of Open Source projects, Engine Yard employs top industry experts and sponsors or directly contributes to many projects such as Ruby on Rails, JRuby, Rubinius and fog. Headquartered in San Francisco, Calif., Engine Yard is backed by Benchmark Capital, New Enterprise Associates, and Amazon.com.
Source: Engine Yard, Inc.
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
Jun 19, 2013 |
Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
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.