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*[[2009 Storage budget cuts - what are your options?|Read the Peer Incite Research Notes]]
*[[2009 Storage budget cuts - what are your options?|Read the Peer Incite Research Notes]]
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*Help prep for the next Peer Incite [[Questions for EMC]].  
*Help prep for the next Peer Incite [[Questions for EMC]].  
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[[Storage virtualization design and deployment | read more...]]
[[Storage virtualization design and deployment | read more...]]
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Revision as of 14:02, 4 December 2008


Peer Incite: 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

Dedupe starts here

If you're considering data deduplication/disk-based backup, the fundamental starting point should be RPO (recovery point objective) and RTO (recovery time objective). If RPO's are very tight and you want to send dedupe data over the network - then you'll want to consider server-based solutions like Avamar, which are more expensive.

If on the other hand your applications have more relaxed RPO requirements then you'll have more time to de-dupe and send de-dupe data over the net. This approach will save a bundle.

Another consideration is size and scale. If you're small (less than 10 tb) then there are a variety of vendor/product choices. If greater than 10TB, the choices narrow significantly.

The other consideration is doing in-line or post process dedupe. Data domain and Diligent, etc do inline, Falconstor and others do post process.

From a business perspective, post process allows you to do the backup faster, then you perform the dedupe. But you've added another process in the stream meaning the whole procedure takes longer and is more complex. Meaning RTO will be extended.

In line slows down the backup process but overall it's faster and easier to manage. So your RPO goes up but your RTO goes down.

You might also want to consider outsourcing disk-based backup as a remote service (e.g. IBM and others) which brings other considerations.

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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.

read more...

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.

read more...




























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