The Inevitability Of Private Public Clouds
Call it a phase that companies will have to go through to get to the promised land of the public cloud. …
Call it a phase that companies will have to go through to get to the promised land of the public cloud. …
Hyperscalers and the academics that often do work with them have invented a slew of distributed computing methods and frameworks to get around the problem of scaling up shared memory systems based on symmetric multiprocessing (SMP) or non-uniform memory access (NUMA) techniques that have been in the systems market for decades. …
Just because computing and storage are commodities does not mean, by any stretch of the imagination, that they are inexpensive. …
Bringing the Azure platform from Microsoft’s own public cloud down into the datacenters of enterprises and service providers means more than just giving these shops the same tools to manage raw virtualized compute, storage, and networking. …
In a very real sense, the world’s three biggest public cloud operators are also among the largest server and storage manufacturers. …
A public cloud is, at its most basic level, a giant shared computing facility that spans a datacenter or multiple datacenters, and as such, it needs a kind of operating system of its own to make the collection of servers, storage, and switches behave as a single machine to both its users and to the company that is operating the cloud. …
For certain kinds of modeling, simulation, and machine learning workloads, the advent of GPU coprocessors has been a watershed event. …
Microsoft doesn’t just love running Linux workloads on the Azure cloud. …
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. …
Over the last eighteen months Hadoop distribution vendor, Hortonworks, has watched a stampede of users rush to the cloud, prompting the company to look for better ways to extend usability for first-time entrants to Hadoop territory and to accommodate the rush of test and dev workloads that prefer quick cloud deployments. …
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