Over the years, Google has been one of the largest contributors to the open source community, handing many of its projects over for community development. Just this month, both Google and Facebook have made some significant new contributions of projects. Google has released Kubernetes under an open-source license, which is essentially a version of Borg, which harnesses computing power from data centers into a powerful virtual machine. It can make a difference for many cloud computing deployments.
Last week, Facebook open sourced Haxl, a library that eases access to remote data. Haxl can automatically batch multiple requests to the same data source, request data from multiple data sources concurrently, and cache previous requests. Having all this handled behind the scenes means that data-fetching code can be much cleaner and clearer than it would otherwise be if it had to worry about optimizing data-fetching.
In conjunction with the recent OpenStack Summit in Atlanta, Red Hat had confirmed many new OpenStack-centric initiatives, one of which was that the company 
Everything from life sciences to the financial industry are relying on HPC clusters to perform complex and critical operations. Moving forward, there will be a lot more reliance on various HPC systems. So the all-important question comes in – How do you select, deploy and manage it all? Fortunately, IBM, Intel and NCAR have teamed up to explain their view on best practices selecting an HPC cluster using the process behind building the NCAR Wyoming Supercomputing Center.