Detecting, troubleshooting, and preventing congestion in storage networks
(eBook)

Book Cover
Average Rating
Contributors
Status

Description

Loading Description...

Also in this Series

Checking series information...

More Like This

Loading more titles like this title...

More Details

Published
San Jose, CA : Cisco Press, 2024.
Format
eBook
Language
English

Notes

Bibliography
Includes bibliographical references and index.
Description
The 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.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition

Citations

APA Citation, 7th Edition (style guide)

Gupta, P., & Mazurek, E. (2024). Detecting, troubleshooting, and preventing congestion in storage networks . Cisco Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Gupta, Paresh and Edward, Mazurek. 2024. Detecting, Troubleshooting, and Preventing Congestion in Storage Networks. Cisco Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Gupta, Paresh and Edward, Mazurek. Detecting, Troubleshooting, and Preventing Congestion in Storage Networks Cisco Press, 2024.

MLA Citation, 9th Edition (style guide)

Gupta, Paresh,, and Edward Mazurek. Detecting, Troubleshooting, and Preventing Congestion in Storage Networks Cisco Press, 2024.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

Staff View

Grouped Work ID
2239296d-6763-ce0a-8a34-f2a811a902f8-eng
Go To Grouped Work

Grouping Information

Grouped Work ID2239296d-6763-ce0a-8a34-f2a811a902f8-eng
Full titledetecting troubleshooting and preventing congestion in storage networks
Authorgupta paresh
Grouping Categorybook
Last Update2024-03-13 13:26:08PM
Last Indexed2024-04-27 02:40:40AM

Marc Record

First DetectedMar 13, 2024 01:26:22 PM
Last File Modification TimeMar 13, 2024 01:26:22 PM

MARC Record

LEADER03735cam a22004577i 4500
001on1421954790
003OCoLC
00520240223121953.0
006m     o  d        
007cr cnu---unuuu
008240214s2024    caua    ob    001 0 eng d
020 |z 013788723X
020 |z 9780137887231
035 |a (OCoLC)1421954790
037 |a 9780137887279|b O'Reilly Media
040 |a ORMDA|b eng|e rda|e pn|c ORMDA|d ORMDA|d OCLCO
049 |a MAIN
050 4|a TK7895.M4
08204|a 004.5|2 23/eng/20240214
1001 |a Gupta, Paresh,|e author.
24510|a Detecting, troubleshooting, and preventing congestion in storage networks /|c Paresh Gupta, Edward Mazurek.
264 1|a San Jose, CA :|b Cisco Press,|c 2024.
300 |a 1 online resource (736 pages) :|b illustrations
336 |a text|b txt|2 rdacontent
337 |a computer|b c|2 rdamedia
338 |a online resource|b cr|2 rdacarrier
504 |a Includes bibliographical references and index.
520 |a The 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.
588 |a Description based on print version record.
590 |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition
650 0|a Computer storage devices.
650 0|a Computer networks.
650 6|a Ordinateurs|x Mémoires.
650 6|a Réseaux d'ordinateurs.
650 7|a Computer networks|2 fast
650 7|a Computer storage devices|2 fast
7001 |a Mazurek, Edward,|e author.
758 |i has work:|a DETECTING, TROUBLESHOOTING, AND PREVENTING CONGESTION IN STORAGE NETWORKS (Text)|1 https://id.oclc.org/worldcat/entity/E39PD3hhXrH6QpXHmYxTFGGXMP|4 https://id.oclc.org/worldcat/ontology/hasWork
77608|i Print version:|a GUPTA, PARESH.|t DETECTING, TROUBLESHOOTING, AND PREVENTING CONGESTION IN STORAGE NETWORKS.|d [Place of publication not identified] : CISCO PRESS, 2023|z 013788723X|w (OCoLC)1291875554
85640|u https://learning.oreilly.com/library/view/~/9780137887279/?ar
994 |a 92|b PCO