High-performance computing in the cloud News
January 28, 2015
Google customers looking to do more around high-performance workloads got a boost with the expansion of the cloud vendor's big data ecosystem.
June 11, 2013
IBM touts a grand vision for unifying DevOps with automated IaaS, but the concept is still in early beta and the market is nowhere near ready for it.
April 11, 2013
An enterprise cloud computing strategy should be based on what cloud service providers can realistically provide, and on what they cannot.
December 14, 2012
Many companies now use the public cloud for big data analytics, but should they? MIT researchers discuss the ethics of big data in the cloud.
High-performance computing in the cloud Get Started
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Cloud load balancing is the process of distributing workloads and network traffic among multiple servers or other resources in a cloud environment. Continue Reading
As cloud evolves, new applications such as big data analytics and HPC enter the fray. What do these new apps mean for cloud's future and performance? Continue Reading
Noisy neighbor is a phrase used to describe a cloud computing infrastructure co-tenant that monopolizes bandwidth, disk I/O, CPU and other resources, and can negatively affect other users' cloud performance. Continue Reading
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Weigh the pros and cons of technologies, products and projects you are considering.
To trump the competition this year, Google will likely soup up its Google Compute Engine with new features around containers, hybrid cloud, SDN and more. Continue Reading
Applications are getting complicated and finding the best tools is tough. Cloud orchestration and DevOps can help, but they aren't quite the same thing. Continue Reading
Hadoop remains an effective data analysis tool, but also comes with a bit of overhead. Here are the Hadoop as a Service tools available to you. Continue Reading
Manage High-performance computing in the cloud
Learn to apply best practices and optimize your operations.
Every company seeks the magical five nines -- or 99.999% availability. If major providers can't promise it, how can you get it? Continue Reading
Determining whether to shut down on-premises apps and hardware is never easy. Here are strategies to help ensure a successful cloud transition. Continue Reading
Problem Solve High-performance computing in the cloud Issues
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Analytics as a Service can reduce time and cost of data analysis for enterprises. However, relying on black-box analysis can be a risky proposition. Continue Reading
For enterprises intimidated by Hadoop, Google BigQuery offers an entry-level approach to big data analysis, but it may trade accuracy for speed. Continue Reading
Big data means big business when teamed with cloud. Using a big data appliance is convenient but could get costly for the average enterprise. Continue Reading