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Latest Peer Incites:

Six Wikibon experts break down EMC's recent analyst event

Media:12-16-08_EMC_Peer_Incite_mashup.mp3


Grant, a Sr. Storage Admin at a large bank discusses how heterogeneous storage virtualization can help reduce the budget for 2009.

Media:11-18-08_Peer_Incite_mashup.mp3‎

Wikitip

Evaluation of LSI MegaRAID CacheCade SSD Management Software


Interest in solid-state storage (SSS) is high, and IT professionals are beginning to explore various ways to take advantage of the increased performance and reduced power consumption that SSS offers. Various enterprise applications across the spectrum of size and complexity may be good candidates for SSS.

SSS can be deployed directly as primary storage where the users decide what data to place on the storage, or it can be deployed as a cache in front of traditional storage, where the storage controller determines what data is placed on the SSS or solid state disk (SSD). Each implementation has advantages.

LSI Corporation commissioned Demartek to evaluate MegaRAID CacheCade software in a Web server environment. CacheCade software is optimized to enhance read cache performance with features such as hot spot detection and retention.

View the full report here.

View Another Wikitip

Featured Case Study

Virtualization Energizes Cal State University

John Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years.

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Storage Professional Alerts


Featured How-To Note

Storage Virtualization Design and Deployment

A main impediment to storage virtualization is the lack of multiple storage vendor (heterogeneous) support within available virtualization technologies. This inhibits deployment across a data center. The only practical approach is either to implement a single vendor solution across the whole of the data center (practical only for small and some medium size data centers) or to implement virtualization in one or more of the largest storage pools within a data center.

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