The Ripple Effect

TidalScale's Year in the News

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

May (the month, not the guitarist from Queen) has always been synonymous with endings and beginnings. May marks the end of autumn in the Southern Hemisphere and the practical start of summer up north. It’s a big month for graduations (another ending), and just as big for weddings. You get the idea.

So with schools about to let out for summer, I thought we should look at our own report card.

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The Software-Defined Future, Brought to You by TidalScale

software-defined server, infrastructure, in-memory computing, software-defined data center, TidalScale WaveRunner

Last week at Silicon Valley’s storied Computer History Museum, some 200 people came together to see what’s next.

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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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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 Get the Most from Your Cloud

infrastructure, cloud, Cloud Computing, cloud optimization

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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Why You Need a BFC (Part 2)

big data, software-defined server, in-memory performance, infrastructure

Last week, I looked at some of the compelling reasons for transforming a set of commodity servers into a big flexible computer, or BFC.  At TidalScale, we call this a Software-Defined Server -- a single virtual machine operating across multiple nodes, and that makes all the aggregated resources available to the application. But for today’s blog, it’s BFC all the way.

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For Cloud Infrastructure Providers, a Way to Do More than Ever Before

TidalScale, software-defined server, infrastructure, cloud

Guest Blog from Sheng Yeo, CEO of OrionVM, a partner of TidalScale

Cloud infrastructure providers today don’t have much flexibility when it comes to the systems they use. Resources devoted to running specific applications and workloads are generally confined to the limits of a single system, typically a “sweet spot” server that perhaps offers 24 cores and a few hundred gigs of memory. It's a matter of economics, really: 

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