August 24, 2010
Redwood City, CA., August 24, 2010 -- Makara, a leading provider of deployment and management solutions for applications in the cloud, today announced the general availability of the Makara Cloud Application Platform with built-in auto-scaling capabilities. With Makara, developers and system administrators are able to quickly deploy, manage, monitor and scale their Java and PHP applications on both public and private clouds, such as Amazon EC2, in minutes, with zero modifications. This major new release introduces the ability to automatically scale applications up or down as the workload dictates, without the need to write or maintain scripts. Makara’s auto-scaling works by allowing users to easily specify the minimum and the maximum amount of nodes in a cluster, then automatically scale the cluster up or down, based on a variety of different metrics and thresholds. The ability to auto-scale means organizations can quickly realize the agility and cost-savings the cloud offers by fully utilizing the resources they need, when they need them. This means less time and money spent on administration, and more on what really matters, application development.
Makara will be demonstrating this new release in a free webinar next week on Thursday, September 2, 2010 at 10am Pacific/1pm Eastern entitled, "Scaling Applications in the Cloud with Makara." Register for the webinar.
“It is no fun to deploy load balancers and synchronize systems,” said Chris Gamache, CTO at Auto Data Direct. “Makara is a complete solution for the deployment and management of our clustered web services in the cloud.” Currently, the majority of available solutions lock organizations into a proprietary platform or require them to write and maintain a collection of scripts in order to manage their application in the cloud. There are no scripts to write or maintain with Makara, and your applications remain portable to both public and private clouds with no vendor lock-in.
“The response to Makara from developers, partners, analysts and journalists at JBoss World was tremendous”, said Issac Roth, Makara CEO, “The market is clearly reacting to what has been an absence of tools for on-boarding, scaling and monitoring applications. Visitors to our booth were able to see other attendees easily on-board applications to the cloud in just a few minutes and in real time.”
PRICING AND AVAILABILITY
The Makara product line includes On-Demand, Enterprise and Service Provider Editions. Makara Cloud is the on-demand version of the product available on public clouds. This self-service portal not only makes it easy to onboard applications, but also to mange, monitor and scale them on Amazon EC2. The pricing model for the Makara Cloud is per server hour. To trial Makara Cloud and for more information concerning editions, please visit www.makara.com or call (650) 249-4862.
Developers and system administrators have quickly realized that provisioning a virtual server and deploying an application is only the beginning in a series of ongoing tasks that will need to be performed in order to effectively manage an application in the cloud. These tasks include:
* Dynamic Scaling of Clusters
* Load Balancing
* Configuration Updates and Rollbacks
* Log Analysis
* Real-time and Historical Performance Monitoring
According to a recent report published by Gartner® entitled ‘Cool Vendors in Cloud Management, 2010’, published March 31, 2010, it lists Makara as one of the vendors to watch in this market, "Once you get past the SLA and concerns about your cloud providers security measures, you still have a few major challenges to tackle...like how to migrate your existing applications to the cloud.” said Bernard Golden, CEO of Hyperstratus and co-author of "Creating the Infrastructure for Cloud Computing." "Makara offers the fastest on-ramp for JBoss and PHP applications to the cloud without having to spend hours or days tweaking templates or writing and maintaining deployment scripts."
Makara is a leading provider of solutions that enable organizations to deploy, manage, monitor and scale their applications on both private or public clouds, such as Amazon EC2, in minutes, with zero modifications. Makara is headquartered in Redwood City, CA.
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 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.
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.