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    MRS - A Key to Simplifying Storage Migration Projects

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    Mon, 09.05.2016, 09:07 AM

    Migrating data from system-to-system is a common activity for nearly every organization. Some migration projects are part of a larger initiative that includes application updates and complex data transformations, while most are driven by storage platform upgrades and utilize a migration methodology that looks similar to the one depicted in the accompanying diagram.

    Even though every organization has tackled data migration challenges at one point or another, you would think that each subsequent project would become easier, but why isn’t that the case?

    Wouldn't it be nice to eliminate system downtime during a migration project?

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    With more organizations depending on their IT systems 24x7x365, the most visible, and despised pain-point in a migration project continues to occur when operations are disrupted by shutting down key information systems in order to move existing data to a new storage device or server, verify, orchestrate a cut over, and then re-verify. This has become almost unacceptable, but what alternatives are there? Wouldn’t it be nice to minimize or even eliminate system downtime during a migration project?

    MRS - Map & Sync

    The answer is to replace shutting systems down to copy or mirror data, a disruptive migration process, with MRS – Map source and target data, and then Real-time Sync. Powered by a combination of proven byte-level synchronization and CRC-based validation technology that keeps source and target data accurately replicated in real-time, MRS is a continuous process that operates in the background enabling migration project teams to maintain system uptime and ensure an orderly cut over with minimal impact on live system performance.

    Learn More About MRS 

    Our Case Study with Silver Sky shows how the email and messaging services provider utilized PeerSync and MRS to migrate messaging files for millions of email users to a state-of-the-art NetApp storage platform for faster performance and increased user satisfaction.

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