The Ripple Effect

The Software-Defined Future is Here

TidalScale, software-defined server, software-defined data center, composable infrastructure, right-sizing, Memory, Gordon Bell, IEEE Computer

In January, I argued that 2018 is shaping up to be the year of the Software-Defined Server. I pointed to a number of reasons why:

  • Data is growing rapidly, putting pressure on IT infrastructures that simply aren’t built to keep up.
  • To act on all that data quickly, businesses need to analyze it entirely in memory, which is 1,000 times faster than flash storage.
  • Today’s on-premise and cloud data centers typically aren’t equipped with servers that can provide a single instance of memory large enough to accommodate many data sets.
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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


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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Why 2018 is the Year of the Software-Defined Server

software-defined server, OrionVM, IDC, Gartner, software-defined data center, TidalScale WaveRunner, Oracle Cloud Infrastructure, software-defined storage

With data volumes growing at a whopping 62 percent CAGR, it’s easy to see why some organizations are worried about keeping up. They’re trying to process and analyze bigger and more complicated problems, which increasingly stresses their computing resources.  Eventually, you hit the limits of what your systems can handle.

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In Korea, a Real Hunger for Right-Sizing Servers

software-defined server, hpc, TidalScale Korea, Korea, Memory, DRAM, inverse hypervisor

TidalScale Korea officially launched last week in Seoul. It was a milestone event in a country where enterprises, governments and institutions are seeking cost-effective ways to deal with increasingly cumbersome Big Data problems and unpredictable workloads.

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Deploy a "Supercomputer" in Minutes, Pay by the Hour

TidalScale, software-defined server, software-defined data center, TidalScale WaveRunner, composable infrastructure, SC17, hpc, supercomputing

As the high-performance computing (HPC) community prepares to descend on Denver for SC17 next week, its members will arrive in the Mile-High City with more baggage than the usual rolling carry-on. They’ll also be packing some long-held expectations. One of these is that it’s more or less impossible to create a real HPC system—a massive single system image—in the cloud.  I fully anticipate they will leave Denver with the opposite expectation.

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The Magic of Hardware that Isn't

virtualization, software-defined server, software-defined data center, prickett morgan

“We didn’t believe it either. But the TidalScale team is not fooling around here.”

These are two of my favorite sentences in Timothy Prickett Morgan’s excellent recent piece for TheNextPlatform in which he details the longtime quest to achieve “a big ole flat memory space that is as easy to program as a PC but brings to bear all that compute, memory and I/O of a cluster as a single system image.”

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4 Compelling DevOps Advantages of Software-Defined Servers

kubernetes, containers, docker, software-defined server, software-defined data center, CloudExpo, devops

Forrester recently called cloud computing "the most exciting and disruptive force in the tech market in the last decade." We would agree.

That's why we're exhibiting and presenting at CloudExpo, which runs through Nov. 2 at the Santa Clara Convention Center. 

Visit us in Booth #309

Come see us in Booth #309 (just behind the huge IBM booth in the entry of the exhibit area) to see how you can right-size your cloud server resources to fit any data set or workload. 

Software-Defined Servers are growing popular with large manufacturers, financial services firms and other innovators because of four key benefits to DevOps:

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Why Software-Defined Servers & Storage are a Match Made in Data Center Heaven

software-defined server, software-defined data center, storage visions, software-defined storage

I made a presentation at the recent Storage Visions conference which gave me an opportunity to think about how rapidly Software-Defined Servers are evolving and how perfectly they fit with software defined storage architectures.

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4 Ways to Right-Size a Server Right Now

software-defined server, OrionVM, Cloud Computing, TidalScale WaveRunner, right-sizing, Oracle Bare Metal Cloud, Oracle Cloud Infrastructure, High Performance Computing, IBM BlueMix

Four Options for Harnessing the Flexibility & Power of Software-Defined Servers

You may have caught our big news at Oracle OpenWorld 2017 – that TidalScale has teamed up with Oracle Cloud Infrastructure to enable the world’s largest servers. It’s a big deal for us, but an even bigger deal for users of Oracle Cloud who have found they need more compute, memory, storage or I/O than any single bare metal server in the Oracle Cloud can provide.

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TidalScale Open APIs Improve Data Center Utilization by Orders of Magnitude

TidalScale, software-defined server, infrastructure, software-defined data center, TidalScale WaveRunner, RESTful, API

How the WaveRunner API Enables Tomorrow’s SDDC Innovation, Today

Guest blog post by Chris Busse, CTO at APIvista

In my consulting work, I encourage enterprises of many sizes to use standardized APIs across their business areas. This means I’m often called upon to explain what an application programming interface is to non-technical stakeholders. 

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How to Harness the Disruptive Benefits of Containers

containers, software-defined server, Cloud Computing, software-defined data center, Amazon EC2, AWS

Some developments challenge our accepted notions of what things are and how they’re created.  Uber and Airbnb, for instance, caused us to rethink what transportation and lodging mean in the new sharing economy.  Then there’s Amazon, one of the granddaddies of disruptors.

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Learn About Right-Sizing in 5 Easy Steps

software-defined server, software-defined data center, composable infrastructure, right-sizing

I’ll be the first to acknowledge that there’s a lot to the TidalScale story. Our Software-Defined Servers enable organizations to right-size servers on the fly to fit any data set. The process of creating one is fast, flexible and easy. With TidalScale, you can:

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Part 1: Composable Infrastructure for the Modern Data Center

software-defined server, Cloud Computing, software-defined data center, composable infrastructure

Part 1: The Need for Composable Infrastructure

New approaches to infrastructure design are required for businesses to keep up with the amount of data that is generated, and whose timely analysis is of paramount importance for the business to remain competitive in the digital economy. Newer approaches to infrastructure must focus on efficiency to

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Why More Data Centers Will Be Software Defined

software-defined server, data center, in-memory computing, software-defined data center, sddc

A new report projects that the global Software-Defined Data Center (SDDC) market will grow at a 22 percent compound annual growth rate through 2021. The authors, an India-based outfit called Wise Guy Consultants, estimate that the total market size for SDDC goods and services will reach $81.4 billion in the same period.

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The Cloud as Rainmaker

TidalScale, software-defined server, Gartner Cool Vendor, Cloud Computing

In case you missed the news the other day, the analysts at Gartner have just named TidalScale a Cool Vendor in its 2017 Cloud Computing Report[i].  This latest report from one of the world’s most respected research outfits affirms once more that the time is right for TidalScale’s Software-Defined Servers, which bring flexibility to modern data centers by enabling organizations to right-size servers on the fly.  (I say “affirms once more” because TidalScale was named an IDC Innovator just a few weeks ago.) 

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Why Wait for HPE’s The Machine?

TidalScale, software-defined server, in-memory performance, infrastructure

Today, Hewlett Packard Enterprise (HPE) unveiled a prototype of a massive server designed around memory – 160TB of it in fact. In announcing this concept system, which is the latest project in HPE’s research effort known as The Machine, HPE chief Meg Whitman reasoned, “We need a computer built for the Big Data era.”

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3 Secrets to Right-Sizing a Server

software-defined server, in-memory performance

I’ve grown accustomed to the stares of disbelief. It usually starts like the conversation I had the other day with some folks from a leading North American insurance company. They were planning to roll out an advanced new analytic model. Trouble was, they had no way to predict how much compute or memory capacity they’d need.

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Predicting Yesterday’s Weather

Large memory, software-defined server, in-memory performance

While it’s true that we can never predict tomorrow’s weather with 100 percent reliability (at least not yet), at the same time it’s true that we can predict yesterday’s weather with 100 percent certainty.

What does this have to do with anything?

Well, it turns out that meteorologists aren’t the only people who use historical data in an attempt to predict reasonable futures. 

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