Virtual Data Centers


Virtual data centers are complex. There are many devices of different kinds ( physical and virtual) which inter-operate, but not quite efficiently. Efficiency is a challenge with the new data center.

One example is backup to disk. Companies invest significant capital expense in backup hardware, including backup servers, disk storage, oftentimes in both the primary data center and the remote disaster recovery site. When there is no backup running, the CPU and memory are underutilized across these many specialized systems and devices.

With many applications vying for data, there is inevitably a slow- down in data delivery speed, due to network traffic. High storage latency also contributes to this slow down. Application I/O performances start to dip. Administrators of data centers are left to wonder what can be done to reverse this trend.

The main challenge before administrators in VM environments is the lack of availability of intelligence on data in their systems. Without knowing what is happening to the data, what the bottlenecks are, where the slow downs are happening, managing the data or the performance of the system, is a challenge.


PerfAccel was designed with virtualization in mind to provide granular intelligence for faster VM reboots and application I/O performance while decreasing storage network traffic and application slowdowns due to high storage latency.

Ideal for XEN, KVM, and VMware virtual environments, PerfAccel helps admins identify what data is managed by the cache and what data can be offloaded to less performance critical storage.

From web-hosting to large scale cloud infrastructure, admins can decrease the cost of storage while significantly increasing I/O performance within minutes of deploying PerfAccel to their virtual environment.

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Download PerfAccel right away for Free and see how data intelligence can dramatically improve the visibility, control and acceleration of your applications as well as data storage network

Get hands-on with many exciting features like PerfAccel File Analytics, IOPS Analytics, Process Analytics, Context Analytics, Intelligent & Dynamic Data Management etc.