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Enterprise Java Research Library
sponsored by Storage Magazine
Posted:  23 Apr 2008
Published:  01 Apr 2008
Format:  HTML
Length:  6   Page(s)
Type:  Journal Article
Language:  English


ABSTRACT:
In the last five years, data recovery technologies have been introduced that let users recover data to almost any desired previous point in time, shorten recovery times to minutes for even very large data sets and minimize the amount of storage capacity required for data protection tasks. But there"s a class of apps for which data recovery by itself isn"t sufficient. They require recovery of data and of the app itself in the most automated way possible.

The ultimate objective for any recovery operation is to keep the business running; in the case of an application outage, lessening its impact on revenue or customer service is critical. The key recovery metrics are recovery point objective (RPO) and recovery time objective (RTO). It"s therefore important to understand what the recovery requirements are for each app before an appropriate solution can be chosen.


Author

Eric Burgener
Senior analyst and consultant, Taneja Group
Eric Burgener is a senior analyst and consultant at the Taneja Group. He advises clients on data protection, archiving, data reduction technologies including deduplication and compression, DPM, and WAFS/WDS. Eric has particular experience with emerging technologies, having worked extensively with high availability computing, heterogeneous replication, storage management and virtualization, and continuous data technologies during the early formative years for these technologies from the vendor side.



BROWSE RELATED RESOURCES
Clustering | Data Recovery | Data Replication | Fault Tolerance | High Availability | Microsoft Exchange | RPO | RTO | Storage Appliances | Storage Replication

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