Certified by SUSE, TidalScale creates a system that can deliver on the memory needs of a company by tying together multiple servers and thereby enabling in-memory compute. The system uses in-built machine learning below the application layer to provide appropriate performance metrics. TidalScale’s proprietary technology provides IT organizations with the tools they need to deploy the high-performance SAP HANA in-memory database, at-scale, but still fit within increasingly aggressive IT operational and capital budgets. “TidalScale Software-Defined Servers provide the ideal platform to ensure your data does not outgrow your infrastructure or your budget,” states Smerdon. The servers aggregate the resources of multiple cost-effective, commodity servers into one or more Software-Defined Servers right-sized for enterprise needs—under a single, unmodified Linux operating system. It utilizes real-time machine learning deployed in the HyperKernel, a bare-metal distributed ‘inverse hypervisor’, to continuously optimize workload performance.
TidalScale Software- Defined Servers provide the ideal platform to ensure your data does not outgrow your infrastructure or your budget
Apart from their state-of-art technology offering, what differentiates TidalScale is the approach that they take to understand their clients’ needs and deliver solutions accordingly. The company works directly with the CIOs, data architects, and application managers to help them run the data center, and also reap business intelligence out of the available data faster and on-time. TidalScale enables IT to respond quickly to evolving user needs without the delay and expense of procuring specialized hardware. Using the company’s system, administrators can configure and deploy a Software-Defined Server from hundreds of gigabytes to tens of terabytes. In effect, TidalScale achieves the capacity of the scale-out approach with the simplicity of the scale-up approach without any complex distributed software development or data partitioning. This enables both provisioning of hardware as well as visual monitoring of all Software-Defined Servers, and also seamless integration into the DevOps infrastructure and processes. Smerdon gives an example where TidalScale provided a client with not only a uniform system throughout their work environment but were also able to eliminate the concern about the size of the system that they will need in the future.
Having carved a unique niche in the data center space through their Software Defined Server technology, TidalScale has recently rolled out the latest version of the software that not only raised the performance level but also improved the ease of installation. TidalScale has also expanded its support operations in Asia with a focus on Japan and Korea and going forward, the company will be rolling out an automated system that will further raise the performance bar of their Software Defined Server technology.
Infosys makes additional investment in TidalScale
Hyderabad: Infosys on Monday announced that it has made an additional investment of $1.5 million through the Infosys Innovation Fund in TidalScale Inc., the company at the heart of the Software-Defined Server revolution. Infosys has previously invested $1.5 million in TidalScale in 2016 thus taking the cumulative investment as of date to $3.0 million.
By enabling organisations to create systems of virtually any size using the commodity servers they already own while requiring no software changes, TidalScale makes it possible for more organisations to draw insights from big data faster, easily and with greater flexibility than ever before.
“We are excited to further strengthen our relationship with TidalScale. Their groundbreaking software-defined server technology addresses a key challenge that many enterprises face – to rapidly increase the return on their existing investments in technology infrastructure assets,” said Deepak Padaki, executive vice-president, Infosys. The investment is expected to be completed by September 28, 2018 subject to necessary approvals.