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SAN-Based Intelligence: How Do We Get There From Here?

机译:基于SAN的情报:我们如何从这里到达那里?

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摘要

The buzz around "SAN-based intelligence" has sparked a lot of interest, according to recent polls of storage administrators. In spite of the dearth of real products, the major fabric infrastructure vendors and storage equipment vendors have been posturing to capture mind share and the perception of leadership. But is there real value and viable solutions to SAN storage management headaches in this so-called network-based "intelligence"? The SAN storage management puzzle today consists of many pieces including resource discovery, capacity planning, performance and availability tuning, provisioning, backup and recovery, disaster protection, and change management. Since data growth and application requirements are expanding so quickly, storage management can become a cosdy and painfully vicious cycle. Today's tools consist of host-based software such as volume managers, and array-based services like replication that don't work cooperatively together. Also, these services usually only work between homoge- neous host-servers or storage systems locking users into a particular vendor with a specific roadmap. Keeping up with the plethora of management interfaces, software versions, and configurations only adds to the management complexity.
机译:根据最近对存储管理员的调查,围绕“基于SAN的智能”的嗡嗡声引起了人们的极大兴趣。尽管缺少实际产品,但主要的光纤基础架构供应商和存储设备供应商仍在摆姿势以吸引思想共享和领导力感。但是在所谓的基于网络的“智能”中,是否有真正价值和可行的解决方案来解决SAN存储管理难题?如今,SAN存储管理难题由许多部分组成,包括资源发现,容量规划,性能和可用性调整,置备,备份和恢复,灾难保护以及变更管理。由于数据的增长和应用程序需求的增长如此之快,因此存储管理可能会变成繁琐而痛苦的恶性循环。当今的工具包括无法协同工作的基于主机的软件(例如卷管理器)和基于阵列的服务(例如复制)。而且,这些服务通常仅在同类的主机服务器或存储系统之间工作,从而将用户锁定在具有特定路线图的特定供应商中。跟上过多的管理界面,软件版本和配置只会增加管理的复杂性。

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