It has taken a little longer than expected, but then again, creating a datacenter operating system that mimics the sophisticated bare metal and virtualized systems inside of search engine giant Google is no simple task. …
About a year ago, search engine giant Google put out a whitepaper about how it was using machine learning to increase the efficiency of its datacenters, and now, executives at the company tell The Next Platform that the system is being put into production. …
The people in the systems business at Hewlett-Packard have finally caught the DevOps bug. …
The name of the game among the hyperscalers is to use their hardware and software engineering to get their infrastructure compute and storage costs coming down faster than the rate of Moore’s Law improvements for the components that make up their systems. …
Software containers are different from virtual machines and the hypervisers that host them, and they need a very different set of management tools to use them in large scale enterprise, hyperscale, and cloud environments. …
Back in the late 1980s, while working in the Adaptive Systems Research Department at AT&T Bell Labs, deep leaning pioneer, Yann LeCun, was just starting down the path of implementing brain-inspired machine learning concepts for image recognition and processing—an effort that would eventually lead to some of the first realizations of these technologies in voice recognition for calling systems and handwriting analysis for banks. …
Two years ago, the CoreOS distribution of Linux was created by two guys literally working out of a garage who wanted to make software containers the key feature, rather than an add-on, to a Linux distribution for servers. …
A database technology called Bigtable that search engine giant Google launched internally more than a decade ago and has spent the ensuing years perfecting as the underpinning of its search engine and advertising business is going commercial. …
The fact that Google calls its massive-scale resource management framework “Borg” is, in itself, rather a brilliant thing. …
For most companies in most industries, riding down the Moore’s Law curve to get more compute power for the same money is good enough. …
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