TidalScale’s software-defined server technology is now available on Amazon Web Services (AWS). It would allow businesses to develop and deploy servers of nearly any capacity in minutes. TidalScale claims to provide scalability and stability in IT infrastructure while lowering expenses and long-term commitments.
“We are pleased to work with TidalScale to make its software-defined server technology available on AWS,” said Tom Soderstrom, Director of Chief Technologists, AWS Worldwide Public Sector. “With its objective to aggregate the resources of multiple bare metal Amazon Elastic Compute Cloud instances into a single virtual server, TidalScale on AWS aims to provide customers with the flexibility to tailor their on-demand compute infrastructure for compute-and-memory-intensive workloads.”
CPU Cores, Memory, and I/O
Enterprises want IT infrastructure that can readily scale up or down with little downtime as their business grows and mission-critical workloads like Oracle Database, SAP HANA, simulations, and data analytics become more prevalent, stated TidalScale. The company’s software would seek to ‘glue’ AWS bare metal servers together so that they act as a single bigger system that is ‘appropriately scaled’ for a certain workload.
The program pools the CPU cores, memory, and I/O of numerous physical servers, virtualizes them, and presents them to the operating system as a single ‘software-defined server.’ TidalScale would be simple to use while requiring no changes to applications or operating systems. It would be deployable on AWS within minutes.
“We are thrilled to be working with AWS to bring the benefits of software-defined servers to their industry leading customer base,” said Gary Smerdon, President and Chief Executive Officer (CEO) at TidalScale. “Organizations struggle to determine, much less deploy, the optimal system for large mission-critical workloads. Our software-defined server technology on AWS significantly streamlines and simplifies this process. TidalScale on AWS is an important step in our vision to deliver the future of computing: self-optimizing, self-healing, and self-sizing to customers around the globe.”