The Ripple Effect

The Death of Moore’s Law.  The Birth of Software-Defined Servers.

in-memory, software-defined server, in-memory performance, infrastructure, data center, in-memory computing, software-defined data center, composable infrastructure

It has been over 50 years since Gordon Moore saw that transistor density doubles every two years.  Over the decades, the interpretation of “Moore’s Law” has evolved to represent that the performance of microprocessors, and computers in general, is doubling every 18 months. 

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Containers and Software-Defined Servers: A Win-Win

TidalScale, linux containers, in-memory, software-defined server, composable infrastructure, devops

Background

TidalScale has introduced a new concept in the computing fabric: Software-Defined Servers, which allow users to aggregate off -the-shelf commodity servers together in such a way that they form a virtual machine that spans the hardware servers but looks like a single large server to an operating system.  This large virtual server can run a single guest operating system like Linux and can then run application programs on that system.  

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Why Two Tech Legends Changed Their Minds About The Future of Computers

Large memory, in-memory, software-defined server, in-memory performance, in-memory computing, HANA, Gordon Bell, IEEE Computer

In 1984, Ike Nassi, now an accomplished technologist and entrepreneur, was vice president of research at Encore Computer.  He and his colleagues, along with Encore co-founder Gordon Bell, the legendary engineering vice president at Digital Equipment Corp. and originator of Bell’s Law of computer classes, submitted a proposal to DARPA. They hoped the defense-focused research agency would fund the development of a distributed approach to strongly coherent shared memory.  The work was founded on the notion that applications are more easily written, and deliver results sooner, when the data is entirely resident in memory.

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9 Ways to Press the Easy Button for Scalability

Multiprocessor, TidalScale, in-memory, big data, software-defined server

In some recent blogs, we covered eight reasons why Software-Defined Servers can help reduce OpEx and CapEx, while helping data center managers extract maximum use and value from existing IT resources. And last week, we illustrated how you can achieve some startling real-world performance gains by implementing Software-Defined Servers.

Today, let’s look at how simple, straightforward and transparent Software-Defined Servers are. 

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TidalScale featured in e-week!
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Gary Smeardon in the Cube Interview