November 27, 2012
LAS VEGAS, Nov. 27 – CloudBees, Inc., the Java Platform as a Service (PaaS) innovation leader, today announced improved integration of the CloudBees Platform with several of the services offered by Amazon Web Services (AWS) including Amazon Virtual Private Cloud (Amazon VPC). The combination of the CloudBees Platform services along with content delivery, database, networking and storage services from AWS provide a rich set of capabilities for developers of enterprise Java applications.
The CloudBees Platform consists of development and runtime services including forge repositories, continuous integration, testing, staging, continuous deployment and multiple Java runtime containers. All of the CloudBees services have been designed to run on the highly reliable and scalable AWS Cloud computing platform. CloudBees utilizes AWS regions in North America and Europe for production deployment.
While CloudBees supports multiple infrastructure cloud providers, its AWS commitment makes CloudBees the PaaS of choice for companies using AWS who value deep cloud-based development and testing capabilities, runtime flexibility and a fully managed infrastructure.
With CloudBees, Java developers can now easily take advantage of the rich set of services provided by AWS including content delivery, database, networking and storage services. The following set of services is immediately available to developers to incorporate into their applications:
“Together Amazon Web Services and the CloudBees Platform offer us tremendous flexibility, choice and most importantly simplicity in application development and deployment,” said Dominique Péré, CTO and co-founder, Podbox.com. “This allows us to focus on our business and creating innovative applications, not application infrastructure.”
“AWS is constantly upping the value of the public cloud with great new services and competitive pricing,” said Steven G. Harris, senior vice president of products, CloudBees. “It’s important both to developers and deployers of applications that they can easily take advantage of AWS investments while enjoying the additional benefits of CloudBees fully managed, developer-focused platform as a service.”
CloudBees turbo-charges the way Java applications are built and deployed to meet the rapid pace of business in an on-line and increasingly mobile world. By eliminating the friction caused by provisioning, maintaining and administering complex hardware and software infrastructure, we streamline and accelerate the entire Java application lifecycle from development to deployment. The CloudBees Platform provides a set of rich services that are easily consumed by developers, allowing them to rapidly build and deploy new business applications with zero IT administrative overhead. Our AnyCloud Service Architecture enables those applications to be easily deployed to any public, regional or enterprise cloud environment. CloudBees serves the needs of a wide range of businesses from small startups that want to focus on quickly creating new on-line businesses to large IT organizations that need to rapidly respond to new business application projects.
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.
May 23, 2013 |
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.
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.
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.