Detecting, Troubleshooting, and Preventing Congestion in Storage Networks
1st Edition
Published on 7. March 2024
736 pages
978-0-13-788705-7 (ISBN)
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 storage fabrics and gaining predictive insights.
Through real-world experiences and case study examples, you'll 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
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 storage fabrics and gaining predictive insights.
Through real-world experiences and case study examples, you'll 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
More details
Series
Edition
1. Auflage
Language
English
Place of publication
Indianapolis
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
File size
127,55 MB
ISBN-13
978-0-13-788705-7 (9780137887057)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Paresh Gupta | Edward Mazurek
Detecting, Troubleshooting, and Preventing Congestion in Storage Networks
Book
03/2024
1st Edition
Cisco Press
€60.49
Available immediately
Persons
Paresh Gupta, CCIE No. 36645, has almost two decades of experience in the computer industry. Currently, as a senior leader of Technical Marketing Engineering for Cisco, he drives the technical and market evolution of products, technologies, and solutions such as SAN Analytics, Nexus Dashboard, UCS, MDS, and Nexus switches. He has been testing and validating congestion in storage networks for many years. In his multiple roles, he has invented/patented many ideas, developed many features, and trained thousands of people in sales, partner, and customer communities. Paresh is the creator of the fullblown traffic monitoring apps for Cisco UCS Servers (UTM) and MDS switches (MTM). Hundreds of organizations use Paresh's apps in production around the world.
Edward Mazurek, CCIE No. 6448, has more than 40 years of experience in the computer networking industry. The first 18 were with IBM, supporting products such as Virtual Machine (VM) and VTAM. He has spent the last 22+ years with the Cisco TAC. As a principal engineer, he supports data center networking technologies, including storage-area networking, Fibre Channel, and FCoE in the MDS, UCS, and Nexus 5000, 6000, 7000, and 9000 series. He holds two CCIEs-SNA/IP Integration (2000) and Storage Area Networking (SAN)-and is presently a CCIE Emeritus. Ed has spearheaded the congestion-handling mechanisms on the Cisco MDS 9000 switches and Nexus 9000 switches. Based on his deep understanding, Ed developed an app that is being used by other Cisco engineers and continues to be in high demand by various partners. In addition to inventing multiple features on Cisco products, Ed holds multiple patents in the field of network congestion.
Edward Mazurek, CCIE No. 6448, has more than 40 years of experience in the computer networking industry. The first 18 were with IBM, supporting products such as Virtual Machine (VM) and VTAM. He has spent the last 22+ years with the Cisco TAC. As a principal engineer, he supports data center networking technologies, including storage-area networking, Fibre Channel, and FCoE in the MDS, UCS, and Nexus 5000, 6000, 7000, and 9000 series. He holds two CCIEs-SNA/IP Integration (2000) and Storage Area Networking (SAN)-and is presently a CCIE Emeritus. Ed has spearheaded the congestion-handling mechanisms on the Cisco MDS 9000 switches and Nexus 9000 switches. Based on his deep understanding, Ed developed an app that is being used by other Cisco engineers and continues to be in high demand by various partners. In addition to inventing multiple features on Cisco products, Ed holds multiple patents in the field of network congestion.
Content
Introduction xxxii
Chapter 1 Introduction to Congestion in Storage Networks 1
Types of Storage in a Data Center 1
Storage Protocols, Transports, and Networks 6
Storage Networks 21
Congestion in Storage Networks: An Overview 28
NVMe over Fabrics 43
Quality of Service (QoS) 46
Summary 51
References 52
Chapter 2 Understanding Congestion in Fibre Channel Fabrics 55
Fibre Channel Flow Control 55
Congestion Spreading in Fibre Channel Fabrics 67
Frame Flow Within a Fibre Channel Switch 86
The Effects of Bit Errors on Congestion 92
B2B Credit Loss and Recovery 112
Fibre Channel Counters Summary 123
Summary 127
References 127
Chapter 3 Detecting Congestion in Fibre Channel Fabrics 129
Congestion Detection Workflow 129
Congestion Detection Metrics 135
Congestion Detection Metrics on Cisco MDS Switches 137
Automatic Alerting 168
Detecting Congestion Using Remote Monitoring Platforms 177
Detecting Congestion Due to Slow Drain and Overutilization 192
Slow Drain and Overutilization at the Same Time 194
Detecting Congestion on long-distance links 195
Summary 195
References 196
Chapter 4 Troubleshooting Congestion in Fibre Channel Fabrics 199
Troubleshooting Methodology and Workflow 199
Hints and Tips for Troubleshooting Congestion 214
Cisco MDS NX-OS Commands for Troubleshooting Congestion 219
Case Study 1: Finding Congestion Culprits and Victims in a Single-Switch Fabric 242
Case Study 2: Credit Loss Recovery Causing Frame Drops 271
Case Study 3: Overutilization on a Single Device Causing Massive Congestion Problems 297
Case Study 4: Long-Distance ISLs Causing Congestion 323
Summary 336
References 337
Chapter 5 Solving Congestion with Storage I/O Performance Monitoring 339
Why Monitor Storage I/O Performance? 339
How and Where to Monitor Storage I/O Performance 340
Cisco SAN Analytics Architecture 344
Understanding I/O Flows in a Storage Network 347
I/O Flow Metrics 350
I/O Operations and Network Traffic Patterns 358
Summary 379
References 379
Chapter 6 Preventing Congestion in Fibre Channel Fabrics 381
An Overview of Eliminating or Reducing Congestion 382
Link Capacity 386
Congestion Recovery by Disconnecting the Culprit Device 387
Congestion Recovery by Dropping Frames 388
Traffic Segregation 398
Congestion Prevention Using Rate Limiters on Storage Arrays 433
Congestion Prevention Using Dynamic Ingress Rate Limiting on Switches 436
Preventing Congestion by Notifying the End Devices 457
Network Design Considerations 469
Summary 475
References 476
Chapter 7 Congestion Management in Ethernet Storage Networks 479
Ethernet Flow Control 479
Understanding Congestion in Lossless Ethernet Networks 506
Detecting Congestion in Lossless Ethernet Networks 511
Troubleshooting Congestion in Lossless Ethernet Networks 534
Preventing Congestion in Lossless Ethernet Networks 547
Lossless Traffic with VXLAN 565
Summary 569
References 570
Chapter 8 Congestion Management in TCP Storage Networks 573
Understanding Congestion in TCP Storage Networks 574
Storage I/O Performance Monitoring 587
Preventing Congestion in TCP Storage Networks 597
Detecting Congestion in TCP Storage Networks 615
Troubleshooting Congestion in TCP Storage Networks 625
iSCSI and NVMe/TCP in a Lossless Network 630
iSCSI and NVMe/TCP with VXLAN 631
Fibre Channel over TCP/IP (FCIP) 631
Modified TCP Implementations 637
Summary 638
References 639
Chapter 9 Congestion Management in Cisco UCS Servers 641
Cisco UCS Architecture 641
Understanding Congestion in a UCS Domain 644
Detecting Congestion in a UCS Domain 645
The UCS Traffic Monitoring (UTM) App 648
Summary 668
References 669
9780137887231, TOC, 1/17/2024
Chapter 1 Introduction to Congestion in Storage Networks 1
Types of Storage in a Data Center 1
Storage Protocols, Transports, and Networks 6
Storage Networks 21
Congestion in Storage Networks: An Overview 28
NVMe over Fabrics 43
Quality of Service (QoS) 46
Summary 51
References 52
Chapter 2 Understanding Congestion in Fibre Channel Fabrics 55
Fibre Channel Flow Control 55
Congestion Spreading in Fibre Channel Fabrics 67
Frame Flow Within a Fibre Channel Switch 86
The Effects of Bit Errors on Congestion 92
B2B Credit Loss and Recovery 112
Fibre Channel Counters Summary 123
Summary 127
References 127
Chapter 3 Detecting Congestion in Fibre Channel Fabrics 129
Congestion Detection Workflow 129
Congestion Detection Metrics 135
Congestion Detection Metrics on Cisco MDS Switches 137
Automatic Alerting 168
Detecting Congestion Using Remote Monitoring Platforms 177
Detecting Congestion Due to Slow Drain and Overutilization 192
Slow Drain and Overutilization at the Same Time 194
Detecting Congestion on long-distance links 195
Summary 195
References 196
Chapter 4 Troubleshooting Congestion in Fibre Channel Fabrics 199
Troubleshooting Methodology and Workflow 199
Hints and Tips for Troubleshooting Congestion 214
Cisco MDS NX-OS Commands for Troubleshooting Congestion 219
Case Study 1: Finding Congestion Culprits and Victims in a Single-Switch Fabric 242
Case Study 2: Credit Loss Recovery Causing Frame Drops 271
Case Study 3: Overutilization on a Single Device Causing Massive Congestion Problems 297
Case Study 4: Long-Distance ISLs Causing Congestion 323
Summary 336
References 337
Chapter 5 Solving Congestion with Storage I/O Performance Monitoring 339
Why Monitor Storage I/O Performance? 339
How and Where to Monitor Storage I/O Performance 340
Cisco SAN Analytics Architecture 344
Understanding I/O Flows in a Storage Network 347
I/O Flow Metrics 350
I/O Operations and Network Traffic Patterns 358
Summary 379
References 379
Chapter 6 Preventing Congestion in Fibre Channel Fabrics 381
An Overview of Eliminating or Reducing Congestion 382
Link Capacity 386
Congestion Recovery by Disconnecting the Culprit Device 387
Congestion Recovery by Dropping Frames 388
Traffic Segregation 398
Congestion Prevention Using Rate Limiters on Storage Arrays 433
Congestion Prevention Using Dynamic Ingress Rate Limiting on Switches 436
Preventing Congestion by Notifying the End Devices 457
Network Design Considerations 469
Summary 475
References 476
Chapter 7 Congestion Management in Ethernet Storage Networks 479
Ethernet Flow Control 479
Understanding Congestion in Lossless Ethernet Networks 506
Detecting Congestion in Lossless Ethernet Networks 511
Troubleshooting Congestion in Lossless Ethernet Networks 534
Preventing Congestion in Lossless Ethernet Networks 547
Lossless Traffic with VXLAN 565
Summary 569
References 570
Chapter 8 Congestion Management in TCP Storage Networks 573
Understanding Congestion in TCP Storage Networks 574
Storage I/O Performance Monitoring 587
Preventing Congestion in TCP Storage Networks 597
Detecting Congestion in TCP Storage Networks 615
Troubleshooting Congestion in TCP Storage Networks 625
iSCSI and NVMe/TCP in a Lossless Network 630
iSCSI and NVMe/TCP with VXLAN 631
Fibre Channel over TCP/IP (FCIP) 631
Modified TCP Implementations 637
Summary 638
References 639
Chapter 9 Congestion Management in Cisco UCS Servers 641
Cisco UCS Architecture 641
Understanding Congestion in a UCS Domain 644
Detecting Congestion in a UCS Domain 645
The UCS Traffic Monitoring (UTM) App 648
Summary 668
References 669
9780137887231, TOC, 1/17/2024
