Detecting, troubleshooting, and preventing congestion in storage networks
(eBook)
Description
Loading Description...
Also in this Series
Checking series information...
Subjects
LC Subjects
OCLC Fast Subjects
Other Subjects
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
Grouping Information
Grouped Work ID | 2239296d-6763-ce0a-8a34-f2a811a902f8-eng |
---|---|
Full title | detecting troubleshooting and preventing congestion in storage networks |
Author | gupta paresh |
Grouping Category | book |
Last Update | 2024-03-13 13:26:08PM |
Last Indexed | 2024-04-27 02:40:40AM |
Marc Record
First Detected | Mar 13, 2024 01:26:22 PM |
---|---|
Last File Modification Time | Mar 13, 2024 01:26:22 PM |
MARC Record
LEADER | 03735cam a22004577i 4500 | ||
---|---|---|---|
001 | on1421954790 | ||
003 | OCoLC | ||
005 | 20240223121953.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 240214s2024 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 | |
082 | 0 | 4 | |a 004.5|2 23/eng/20240214 |
100 | 1 | |a Gupta, Paresh,|e author. | |
245 | 1 | 0 | |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 | |
700 | 1 | |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 | ||
776 | 0 | 8 | |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 |
856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9780137887279/?ar |
994 | |a 92|b PCO |