The Ripple Effect

How to Get the Most from Your Cloud

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.) 

We think Gartner is spot on with its assessment that “the era of cloud optimization – not just cloud implementation – is here.” In other words, data center administrators who have already deployed some type of private or public cloud are ready for the next step. They need to find ways to mine more value from their cloud investment. And, as the Gartner report shows, more value is there for the taking, with dynamic optimization shaping up to be “the next battleground for the cloud.”

Indeed, Gartner reports that by 2020, more than a third (35 percent) of large enterprises “will implement dynamic optimization technology for private cloud and virtualized infrastructure — up from less than 5% in 2016.”

With workloads growing less predictable and data sets quickly swelling beyond the capacity of even the largest server in a data center, decision-makers at all levels are struggling to ensure their infrastructures are up to handling, say, the end of the quarter, Cyber Monday, or the next unexpected spike in traffic. Workloads will only grow more unpredictable. Data centers and cloud implementations must become more flexible, because the cloud you have today may not be the cloud you’ll need six months from now. So even for freshly implemented clouds, flexibility is everything.

Servers: The missing piece of the software-defined puzzle

Some flexibility exists already. Among key data center resources, the hard-wired limitations of storage and networks both have been addressed with software-defined solutions that help dynamically optimize those assets.  But servers have remained a fixed resource, and when problems arise that overwhelm a single server, administrators are left with three options:

  1. Scale up by buying new hardware;
  2. Scale out by rewriting code and sharding data so it can run across clusters that are difficult and time-consuming to administer; or
  3. Shave down the size of their workload so it will fit on the computing resource they have on hand.

No wonder analysts have identified dynamic optimization as the Next Big Thing. What could be better than to address the problems you’ll face in six months or a year with the infrastructure you have in place already?

That’s an essential aspect of TidalScale’s advantage. We enable dynamic optimization by allowing you to create the right-sized server entirely on the fly, while using commodity hardware you already own. You can do it without proprietary interconnects and without changing a single line of code. You can run any application or any operating system – whatever you use in your cloud environment is fine with us.

What’s more, TidalScale lets you create servers of virtually any configuration by aggregating the resources of your commodity servers – cores, memory and I/O – into one or more virtual servers. These aggregated resources act as one Software-Defined Server that can be reconfigured dynamically as your workloads change. Does your Monday morning workload need a server with 200 cores and 6TB of DRAM? No problem. How about Monday afternoon when you need 64 cores and 512GB? Not to worry. You can configure your available resources into as many Software-Defined Servers as you need to get the answers you need when you need them. Oh, and if you want to run multiple application containers simultaneously on the same TidalPod — that’s our name for a Software-Defined Server — then go ahead, because that’s not a problem either. 

Meanwhile, advanced machine learning technology automatically flows resources to where they’re needed most within your TidalPod, cutting down on latency and enabling you to say, “On to the next thing!” that much sooner.

Whether your cloud is on-premise or hosted, implementing TidalScale’s Software-Defined Server technology can help you optimize that crucial investment at the very moment that optimization is needed most. But don’t just take our word for it. Read the Gartner report or the IDC report today to learn how TidalScale can help you get the most from your cloud investment, while preparing you for an assuredly unpredictable future.

Give TidalScale a test drive today.

Take TidalScale for a Test Drive

[i] Gartner “Cool Vendors in Cloud Computing, 2017” by Gregor Petri, David Edward Ackerman, Stanley Zaffos, Sid Nag, Ed Anderson, Cathy Tornbohm, [May 25, 2017].

Topics: infrastructure, cloud, Cloud Computing, cloud optimization

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