PernixData Releases FVP 3.0 For Enhanced Scale-Out Storage And Architect, Unified Analytics Platform For Applications And Storage

PernixData today announces the general availability of FVP version 3.0, the company’s product offering that enables improvements to scale-out storage capability without the addition of hardware-based storage. FVP decouples the underlying storage infrastructure from hardware to deliver scale-out storage featuring marked by low latency, improved scalability and enhanced operational agility. FVP aggregates server-side flash storage to accelerate reads and writes to storage by means of server side flash and RAM. FVP enhances VM performance by ensuring the scale-out of storage in conjunction with the computational requirements of a specific infrastructure. FVP 3.0 features support for vSphere 6.0, an enhanced user interface built via HTML 5 and PernixPlus, a product that collects data about the health of an infrastructure to facilitate the monitoring and management of infrastructures and applications.

Today, PernixData also announces the release of Architect, a software platform that delivers real-time analytics regarding storage infrastructures and virtualized applications that are agnostic of the underlying hardware. Architect gives customers aggregated business intelligence into application and hypervisor performance in ways that enable proactive management of the design and architecture of applications to facilitate optimal performance and functioning. As such, Architect delivers an unprecedented degree of granularity regarding the intersection of application performance and storage to enable holistic management of IT delivery. Taken together, today’s announcements from PernixData about FVP version 3.0 and Architect represent a huge step forward toward delivery of non-disruptive solutions for scale-out storage and attendant analytics about application and VM performance. Expect to hear more from PernixData regarding enhancements to both FVP and Architect as enterprises become increasingly comfortable using software-based solutions to improve storage scalability and application performance marked by the decoupling of storage from computational capacity.

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