02630cam a2200241 i 4500003000400000005001700004008004100021020003000062040002300092050001900115100002700134245011100161264004800272300004800320336002600368337002800394338002700422504005100449520180600500650003002306650002302336700002902359GSU20260603122409.0231024s2024    njua     b    001 0 eng    a9780137887231 (paperback)  bengerdacGSUdGSU00aTK7895.M4bGUP1 aGupta, Paresh,eauthor10aDetecting, troubleshooting, and preventing congestion in storage networks /cParesh Gupta, Edward Muzurek. 1aHoboken, New Jersey :bCisco Press,c@2024.  axxxix, 696 pages :billustrations ;c23 cm.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.  aThe complete practical guide to architect storage networks for maximum efficiency, and to quickly troubleshoot congestion issues. Data is the most important entity in a data center. In addition to being stored securely for the long term, data must be accessible to applications with low latency so that high performance can be maintained 24/7. To meet this performance goal of applications, the storage infrastructure services must be designed accordingly. In Detecting, Troubleshooting, and Preventing Congestion in Storage Networks, leading Cisco experts take a practical approach to explaining the congestion handling mechanisms of the transport technologies like FC, FCoE, RoCE, and TCP. The authors share proven troubleshooting methodology developed through years of firsthand experience as well as analytical techniques for monitoring the st rage fabrics and gaining predictive insights. Through real-world experiences and case study examples, youll learn what questions to ask, how to start planning, what exists today, what components still must evolve, and how to drive value in building custom applications in detecting congestion in large-scale storage networks. Optimize user experience with faster resolution of congestion in storage networks in production data centers Master congestion handling mechanisms in technologies like FC, FCoE, RoCE, and TCP Applicable to networks connected to all storage array types and vendors including Dell, HPE, IBM, NetApp, Hitachi Real-world case studies and troubleshooting methodology ensuring storage SLAs are consistently met Increase uptime with custom analytical tools for predicting and resolving congestion Boost storage infrastructure efficiency in a hybrid cloud model Save on employee training and reduce support ticket hassles with vendors. 0aComputer storage devices. 0aComputer networks.1 aMuzurek, Edwardeauthor.