CAMPBELL, CA--(Marketwired - July 18, 2017) - #TidalScale, the leading provider of #SoftwareDefinedServers that bring flexibility to modern data centers by right-sizing servers on the fly, today made it easier than ever for organizations to marshal their existing data center resources into servers of virtually any size and configuration. In a new release of its platform, TidalScale introduced TidalScale WaveRunner™, a simple point-and-click control panel that allows anyone to right-size Software-Defined Servers to fit any data set. "At UTSA, we are implementing Software-Defined Servers so we can provide computing and storage cloud capacity to our researchers in an agile and responsive way as their workload demands change," said Dr. Jeff Prevost, assistant professor of electrical and computer engineering at The University of Texas at San Antonio (UTSA), a premier research university with strong academic and research programs in cyber security, cloud computing, computer analytics and big data. UTSA is also using Software-Defined Servers as a reference implementation of a modern cloud data center for research institutions via the university's Open Cloud Institute. "The new capabilities in TidalScale's software will help us achieve the flexibility and granular control we need to scale and re-provision resources on demand." "Data centers, whether on premise or in the cloud, must move to a more software-defined or composable model if they have any hope of responding with agility to changes in business conditions, spiky workloads and new service demands from the enterprise," said Ashish Nadkarni, program director for IDC's Worldwide Infrastructure Practice. "Any solution that makes this journey faster, easier and more flexible will be welcome. This is particularly true for organizations trying to figure out how to extract more value and life from their existing IT assets, including and especially servers." "Software-defined storage and networks are well established in modern data centers, but while these resources have proven their flexibility and scalability, servers have remained a fixed resource," said Gary Smerdon, CEO of TidalScale, whose Software-Defined Servers combine multiple commodity servers into one or more virtual servers -- all without a single change to applications or operating systems. "TidalScale WaveRunner writes a new future for the data center by allowing users of any skill level or background to build, deploy and manage TidalScale's award-winning Software-Defined Servers. This powerful yet easy-to-use control panel, along with our other new advances, makes it possible to dynamically control server, storage and network infrastructure from a single interface. Now for the first time, a fully software-defined data center isn't just preferable, it's easy." With TidalScale WaveRunner, users can dynamically build, allocate and manage Software-Defined Servers. The intuitive control panel enables them to visually identify and select the data center resources they can deploy. From that resource pool, users can create a Software-Defined Server in as little as a minute. In just a few clicks, they can: Configure multiple Software-Defined Servers to drive various workloads and applications Dynamically control and configure storage and network infrastructure directly from within the TidalScale WaveRunner control panel Rapidly respond to changes in workloads by booting new virtual servers on the fly Gain even more granular control over all Software-Defined Servers and associated resources via a convenient command line interface Easier integration, faster results TidalScale also has introduced a new RESTful API design, making it far easier to integrate Software-Defined Servers into the modern enterprise. The new API allows organizations to run TidalScale with the growing base of third-party REST-compliant testing and data integration platforms and tools, such as Jenkins, Docker and more. TidalScale's HyperKernel software, the foundation of its Software-Defined Server platform, now includes even more improvements. The TidalScale HyperKernel now delivers up to twice the CPU scalability and overall performance across the distributed cluster, besting AWS performance on popular applications such as LogicBlox. Meanwhile, more efficient machine learning for thread locality means resources such as cores, memory and storage automatically migrate to where they're needed within a Software-Defined Server. This enables optimal performance and faster results. Today's announcement comes on the heels of TidalScale being named as both an IDC Innovator(i) and a Gartner Cool Vendor(ii) for 2017. TidalScale also recently won the Red Herring Top 100 North America award for 2017. TidalScale's latest release will be generally available by the end of July.
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