PernixData, a provider of storage software with solutions designed for virtualized data centers, has expanded its storage intelligence solution with more quality business features including DFTM Z-adaptive compression, intelligent I / O profiling and Role Based Access Control (RBAC).
The new features would make it easier to decouple the storage capacity of performance optimal performance applications with scale-out growth and zero disruption to existing IT infrastructure.
"Decoupling is about moving storage intelligence in servers for scale-out performance, effective management of resources, design flexibility data center, and a future proofed storage architecture" said Jeff Byrne, senior analyst and consultant at Taneja Group . "PernixData has decoupled storage a reality by creating a software platform that transforms clustered server media at high speed in a perfect addition to any shared storage environment."
Software PernixData FVP puts the storage intelligence on high speed media server, establishing a point to optimize application performance and management of data center operations with real scale of growth -out control. With the software PernixData FVP, customers can take advantage of any capacity storage platform, creating a decoupled storage architecture that maximizes design flexibility while minimizing storage costs.
The unique features of PernixData FVP software include clustering hypervisor, tolerance topology to the current outages, read and write acceleration, and full support for all systems storage blocks and shared files. In just a short period of time, these capabilities have enabled hundreds of companies worldwide to accelerate about 0,000 virtual workloads using a decoupled storage architecture.
The latest PernixData FVP software (version 2.5) would make it easier to deploy a storage architecture decoupled by adding the following new features:
- DFTM-Z compression adaptive - to make the cost of memory for all applications, including intensive tier 1 data applications as virtualized databases PernixData introduced DFTM-Z. This is a new feature that compresses data in a DFTM environment, RAM maximize equipment capacity underlying 4x or more on average. With DFTM-Z, customers would be able to get the memory performance in Flash prices . DFTM-Z compression is adaptive depending on the characteristics of the traffic, dynamic and transparent to the workload. This would ensure that overhead compression is never a negative impact on the performance VM
- Intelligent I / O profiling -. PernixData FVP has always had the ability to accelerate on a per VM, application acceleration policies unique to individual workloads. PernixData took a step further by adding a new intelligent profiling feature I / O to a PernixData FVP software. With this new feature, PernixData FVP dynamically detects real-time workloads are suitable for acceleration server side and which are not (eg a large sequential reads and writes). In the latter context, reads and writes are automatically sent right to shared storage without going through the media of the local server. This will optimize performance for workloads using the acceleration of server-side and server ensuring flash RAM is available for storage of acceleration when needed
- Role Based Access Control (RBAC) -. FVP PernixData software is increasingly being installed in private cloud deployments and service providers with the infrastructure as a service (IaaS) offers. To facilitate this trend PernixData recently introduced a version of software subscription PernixData FVP to align the managed services offerings. In addition, these environments typically have several tenants who want unique views in their own infrastructure and application environments. To support this feature, added PernixData Role Based Access Control (RBAC) to the latest version of the software PernixData FVP, administrators let control who has access to the user PernixData interface (UI) and what information they can see. Additionally, RBAC can be used within an IT department to provide granular access to the acceleration data. For example, a database administrator (DBA) may be given visibility into database statistics while excluding the visibility of other virtual machines.
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