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VirtuCache is a software solution that caches frequently used blocks of data from traditional disk-based shared storage to in-server solid state storage, thus eliminating storage I/O bottlenecks for data-intensive workloads deployed within VMs.
VirtuCache is the highest-performance caching software for Virtualisation Software because:
VirtuCache is a fully automated caching software and requires zero administration.
Cloud deployments rely on virtualisation platforms, like VMware, to deploy applications within VMs. By deploying VirtuCache in the VMware kernel, storage throughput is improved and storage latencies are reduced considerably, resulting in predictable and consistent application performance. It also allows VMware administrators to deploy a larger number of VMs on each server, thus reducing hardware costs, power consumption and VMware licensing costs.
An alternative approach to improving storage throughput is to deploy all-flash arrays and/or deploying higher-throughput SAN switches and HBAs.
The following are competitive differentiators of VirtuCache versus SAN upgrades and all-flash arrays:
Some advantages of using VirtuCache over other server-side caching software, such as Fusion-io ioTurbine, EMC XtremeSW and NetApp Flash Accel, are:
Because Seagate offers solid state drives (SSD) in all interface types – SAS, SATA and PCIe, we are able to offer VirtuCache deployed along with any of these SSDs at various price-performance levels depending on customer requirements for throughput, slot availability on the motherboard, capacity and latencies.
The Seagate® X8 Accelerator (powered by Virident) is one of the best-performing PCIe cards on the market and is less expensive than similar PCIe cards from Fusion-io and LSI.
Virtunet Systems is developing products for addressing storage needs in VMware, Hyper-V as well as Linux-based hypervisors.
Our first product, VirtuCache, is a software solution that caches frequently used blocks of data from traditional disk- based shared storage to in-server solid state storage, thus eliminating storage I/O bottlenecks for data-intensive workloads deployed within virtual machines (VM).