Today IBM announced enhancements and innovations to its software-defined storage (SDS) line, IBM Spectrum Storage. These new innovations will improve storage management, data security and reduce data costs as they deploy new technology to support cognitive and other data-driven applications across hybrid cloud environments.
Data is growing at an exponential rate. With the millions of new applications that are now running and phenomenon such as the Internet of Things (IoT) this growth will only continue. IT now has to struggle with storing, managing, protecting, and analyzing this data. Of these aspects IT managers priority is information security along the data lifecycle and data encryption features.
IBM’s SDS Spectrum Storage is a family is designed to securely embrace the explosive growth of data and support both traditional and next generation applications. Three of IBM’s Spectrum Storage solutions are being enhanced today to help clients improve security and cost-effectively manage of large amounts of data and storage.
New enhancements and features include:
- IBM Spectrum Virtualize storage virtualization helps clients improve data security and reduce costs with a new software feature providing AES-256 bit data encryption on existing storage systems, eliminating the need to purchase new infrastructure.
- IBM Spectrum Scale software and the IBM Elastic Storage Server integrated system helps clients reduce capital and operating expenses for large volumes of files and objects used by cognitive and cloud applications. New features include data compression to reduce storage space needed for files and objects, interfaces and the ability to accelerate Hadoop applications with a new Hadoop Filed System (HDFS) interface.
- IBM Spectrum Control, which helps reduce IT cost and complexity by optimizing data and storage, now extends management and data analytics capabilities for IBM FlashSystem and IBM Spectrum Scale file and object storage systems. These enhancements, along with broad support for traditional storage systems, provide an integrated control point for optimizing today's diverse data infrastructures.
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