
Google Refines Cloud Pricing Around Capacity Lessons
The public cloud has hit several growing pains over the last several years. …
The public cloud has hit several growing pains over the last several years. …
In times long since passed, when cloud was the latest, greatest hype machine, a steady wave of “cloud enablement” companies came to fore, promising secure ease as users tiptoed across the firewall. …
As was the case over seven decades ago in the early days of digital computing – when the switch at the heart of the system was a vacuum tube, not even a transistor – some of the smartest mathematicians and information theorists today are driving the development of quantum computers, trying to figure out the best physical components to use to run complex algorithms. …
Sometimes the old ideas are the best ones, but they sometimes get ahead of their time. …
The gap between what a hyperscaler can build and what it might need seems to be increasing, and perhaps at a ridiculous pace. …
Hadoop started out as a batch-oriented system for chewing through massive amounts of unstructured data on the cheap, enabling all sorts of things such as search engines and advertising systems. …
When search engine giant Google started planning and then building software-defined networks more than a decade ago, the term did not even exist yet. …
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. …
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