Detecting, troubleshooting, and preventing congestion in storage networks:
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 th...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
San Jose, CA
Cisco Press
2024
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780137887279/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references and index. - Description based on print version record |
| Umfang: | 1 Online-Ressource (736 Seiten) illustrations |
Internformat
MARC
| LEADER | 00000nam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-100860710 | ||
| 003 | DE-627-1 | ||
| 005 | 20240227122214.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240227s2024 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627-1)100860710 | ||
| 035 | |a (DE-599)KEP100860710 | ||
| 035 | |a (ORHE)9780137887279 | ||
| 035 | |a (DE-627-1)100860710 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 004.5 |2 23/eng/20240214 | |
| 100 | 1 | |a Gupta, Paresh |e VerfasserIn |4 aut | |
| 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-Ressource (736 Seiten) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index. - Description based on print version record | ||
| 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. | ||
| 650 | 0 | |a Computer storage devices | |
| 650 | 0 | |a Computer networks | |
| 650 | 4 | |a Ordinateurs ; Mémoires | |
| 650 | 4 | |a Réseaux d'ordinateurs | |
| 650 | 4 | |a Computer networks | |
| 650 | 4 | |a Computer storage devices | |
| 700 | 1 | |a Mazurek, Edward |e VerfasserIn |4 aut | |
| 776 | 1 | |z 013788723X | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 013788723X |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9780137887279/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-100860710 |
|---|---|
| _version_ | 1821494934463578112 |
| adam_text | |
| any_adam_object | |
| author | Gupta, Paresh Mazurek, Edward |
| author_facet | Gupta, Paresh Mazurek, Edward |
| author_role | aut aut |
| author_sort | Gupta, Paresh |
| author_variant | p g pg e m em |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)100860710 (DE-599)KEP100860710 (ORHE)9780137887279 |
| dewey-full | 004.5 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.5 |
| dewey-search | 004.5 |
| dewey-sort | 14.5 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03289nam a22004212 4500</leader><controlfield tag="001">ZDB-30-ORH-100860710</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240227122214.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240227s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)100860710</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP100860710</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9780137887279</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)100860710</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004.5</subfield><subfield code="2">23/eng/20240214</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gupta, Paresh</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Detecting, troubleshooting, and preventing congestion in storage networks</subfield><subfield code="c">Paresh Gupta, Edward Mazurek</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">San Jose, CA</subfield><subfield code="b">Cisco Press</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (736 Seiten)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index. - Description based on print version record</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer storage devices</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ordinateurs ; Mémoires</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Réseaux d'ordinateurs</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer storage devices</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mazurek, Edward</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">013788723X</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">013788723X</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9780137887279/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-100860710 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:22:16Z |
| institution | BVB |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (736 Seiten) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Cisco Press |
| record_format | marc |
| spelling | Gupta, Paresh VerfasserIn aut Detecting, troubleshooting, and preventing congestion in storage networks Paresh Gupta, Edward Mazurek San Jose, CA Cisco Press 2024 1 Online-Ressource (736 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on print version record 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. Computer storage devices Computer networks Ordinateurs ; Mémoires Réseaux d'ordinateurs Mazurek, Edward VerfasserIn aut 013788723X Erscheint auch als Druck-Ausgabe 013788723X |
| spellingShingle | Gupta, Paresh Mazurek, Edward Detecting, troubleshooting, and preventing congestion in storage networks Computer storage devices Computer networks Ordinateurs ; Mémoires Réseaux d'ordinateurs |
| title | Detecting, troubleshooting, and preventing congestion in storage networks |
| title_auth | Detecting, troubleshooting, and preventing congestion in storage networks |
| title_exact_search | Detecting, troubleshooting, and preventing congestion in storage networks |
| title_full | Detecting, troubleshooting, and preventing congestion in storage networks Paresh Gupta, Edward Mazurek |
| title_fullStr | Detecting, troubleshooting, and preventing congestion in storage networks Paresh Gupta, Edward Mazurek |
| title_full_unstemmed | Detecting, troubleshooting, and preventing congestion in storage networks Paresh Gupta, Edward Mazurek |
| title_short | Detecting, troubleshooting, and preventing congestion in storage networks |
| title_sort | detecting troubleshooting and preventing congestion in storage networks |
| topic | Computer storage devices Computer networks Ordinateurs ; Mémoires Réseaux d'ordinateurs |
| topic_facet | Computer storage devices Computer networks Ordinateurs ; Mémoires Réseaux d'ordinateurs |
| work_keys_str_mv | AT guptaparesh detectingtroubleshootingandpreventingcongestioninstoragenetworks AT mazurekedward detectingtroubleshootingandpreventingcongestioninstoragenetworks |