万本电子书0元读

万本电子书0元读

顶部广告

VMware Performance and Capacity Management - Second Edition电子书

售       价:¥

1人正在读 | 0人评论 9.8

作       者:Iwan 'e1' Rahabok

出  版  社:Packt Publishing

出版时间:2016-03-31

字       数:206.3万

所属分类: 进口书 > 外文原版书 > 电脑/网络

温馨提示:数字商品不支持退换货,不提供源文件,不支持导出打印

为你推荐

  • 读书简介
  • 目录
  • 累计评论(0条)
  • 读书简介
  • 目录
  • 累计评论(0条)
Master SDDC Operations with proven best practices About This Book Understand the drawbacks of the traditional paradigm and management that make operations difficult in SDDC Master performance and capacity management in Software-Defined Data Center Operationalize performance and capacity monitoring with proven dashboards Who This Book Is For This book is primarily for any system administrator or cloud infrastructure specialist who is interested in performance management and capacity management using VMware technologies. This book will also help IT professionals whose area of responsibility is not VMware, but who work with the VMware team. You can be Windows, Linux, Storage, or Network team; or application architects. Note that prior exposure to the VMware platform of data-center and cloud-based solutions is expected. What You Will Learn Simplify the task of performance and capacity management Master the counters in vCenter and vRealize Operations and understand their dependency on one another Educate your peers and management on SDDC Operations Complete your SDDC monitoring to include non-VMware components Perform SDDC performance troubleshooting Explore real-life examples of how super metric and advanced dashboards Introduce and implement a Performance SLA Accomplish your Capacity Management by taking into service tiering and performance SLA In Detail Performance management and capacity management are the two top-most issues faced by enterprise IT when doing virtualization. Until the first edition of the book, there was no in-depth coverage on the topic to tackle the issues systematically. The second edition expands the first edition, with added information and reorganizing the book into three logical parts. The first part provides the technical foundation of SDDC Management. It explains the difference between a software-defined data center and a classic physical data center, and how it impacts both architecture and operations. From this strategic view, it zooms into the most common challenges—performance management and capacity management. It introduces a new concept called Performance SLA and also a new way of doing capacity management. The next part provides the actual solution that you can implement in your environment. It puts the theories together and provides real-life examples created together with customers. It provides the reasons behind each dashboard, so that you get the understanding on why it is required and what problem it solves. The last part acts as a reference section. It provides a complete reference to vSphere and vRealize Operations counters, explaining their dependencies and providing practical guidance on the values you should expect in a healthy environment. Style and approach This book covers the complex topic of managing performance and capacity in an easy-to-follow style. It relates real-world scenarios to topics in order to help you implement the book’s teachings on the go.
目录展开

VMware Performance and Capacity Management Second Edition

Table of Contents

VMware Performance and Capacity Management Second Edition

Credits

Foreword

Foreword

About the Author

Acknowledgments

About the Reviewers

www.PacktPub.com

eBooks, discount offers, and more

Why subscribe?

Instant updates on new Packt books

Preface

What this book covers

What you need for this book

Who this book is for

What this book is not

Conventions

Reader feedback

Customer support

Downloading the color images of this book

Errata

Piracy

Questions

Part 1

Technical Introduction

1. VM – It Is Not What You Think!

Our journey into the virtual world

Not all virtualizations are equal

Hardware partitioning

OS partitioning

Virtual Machine – it is not what you think!

Physical server versus Virtual Machine

Summary

2. Software-Defined Data Centers

The software-defined data center

The compute function

The network function

The storage function

All together now

SDDC versus HDDC

Data Center

Compute

Storage

Network

Application

Summary

3. SDDC Management

What you manage has changed

Management changes in SDDC

The restaurant analogy

The consumer layer

The provider layer

Contention versus utilization

Performance and capacity management

Performance

Capacity

Primary counters for monitoring

Who uses which dashboards

How many dashboards do I need?

Summary

4. Performance Monitoring

A day in the life of a VMware Admin

What exactly is performance?

Performance versus capacity

Performance SLA

CPU SLA

Memory SLA

Network SLA

Storage SLA

VDI SLA

Summary

5. Capacity Monitoring

Some well-meaning but harmful advice

A shift in capacity management

SDDC capacity planning

Capacity planning at the compute level

Capacity planning at the storage layer

Capacity planning at the network layer

When is a peak not a true peak?

Putting it all together

Availability – service definition

Tier 1 compute monitoring

Tier 2 and 3 compute monitoring

Storage monitoring

Network monitoring

Conclusion

VDI capacity planning

VM rightsizing

Summary

Part 2

Dashboards

6. Performance-Monitoring Dashboards

What is the overall IaaS performance?

Creating the super metrics

Applying the super metrics

Creating the dashboard

The performance SLA line

Step 1 – create a super metric to define the SLA

Step 2 – create a group for each tier

Step 3 – create policies for each group

Step 4 – map super metrics to policy

Step 5 – add the SLA to each line chart

The resultant dashboard

Alerts

Which VMs are affected?

Adapting the dashboards to different environments

Are you serving my VM well?

Is vMotion causing performance hit?

Is any VM abusing the shared IaaS?

Summary

7. Capacity-Monitoring Dashboards

Tier 1 compute

Tier 1 compute – CPU

Tier 1 compute – RAM

Tier 1 compute – VM

Tier 1 compute – summary

Tier 2 and 3 compute

Storage

Storage – performance

Storage – utilization

Network

Putting it all together

Enhancements to the dashboard

The percentile chart

Utilization information

Rightsizing VMs

Rightsizing large VMs

Rightsizing vCPUs

Step 1 – create a group

Step 2 – create super metrics

Step 3 – create a heatmap

Step 4 – create a list

Step 5 – create a detailed vCPU line chart

Step 6 – add a percentile chart

Step 7 – configure interaction

The resultant dashboard

Rightsizing memory

Large VM groups

Standard deviation

The View object

Summary

8. Specific-Purpose Dashboards

Dashboards for the big screen

The NOC availability dashboard

Compute availability

Storage availability

Network availability

The NOC performance dashboard

The NOC capacity dashboard

The NOC configuration dashboard

Monitoring ESXi host temperature

Dashboards for the storage team

LUN performance monitoring

VSAN performance monitoring

VM performance monitoring

Datastore capacity monitoring

Dashboards for the network team

Errors in the network

Utilization of the network

Special packets in the network

Dashboards for the VDI team

Is the DaaS serving the user well?

Which VDI users need bigger VMs?

Summary

9. Infrastructure Monitoring Using Blue Medora

Overview

NetApp storage

F5 BIG-IP

Cisco Nexus switches

Cisco UCS

Lenovo Compute

Dell PowerEdge servers

Summary

10. Application Monitoring Using Blue Medora

Overview

Microsoft SQL Server

Oracle Enterprise Manager

Citrix XenDesktop and XenApp

IBM Tivoli

IBM DB2

SAP HANA

Summary

Part 3

Counters

11. SDDC Key Counters

Compute

Storage

ESXi and storage

VMs and storage

Network

SDDC and network monitoring

The source of the data

Determining network workload

Metric groups

VM metric groups

ESXi metric groups

Cluster metric groups

Datastore metric groups

Datastore cluster metric groups

Distributed switch metric groups

Data center metric groups

vCenter metric groups

World metric groups

Counters in vSphere and vRealize

Summary

12. CPU Counters

CPU counters at the VM level

Contention counters

The contention counter and power management

The contention counter – why ready is not enough

Utilization counters

The Utilization counter – CPU workload

Other counters

VM CPU key counters

CPU counters at the ESXi level

Contention counters

Utilization counters – key counters

Utilization counters – secondary counters

ESXi CPU key counters

CPU counters at the cluster level

CPU counters at higher levels

Summary

13. Memory Counters

Memory – not such a simple matter

Memory counters at the Guest OS level

Memory counters at the VM level

Contention counters

Utilization counters

Other counters

Putting it together

VM memory key counters

Memory counters at the ESXi level

Contention counters

Utilization counters

Consumed versus Active

ESXi memory key counters

Memory counters at cluster level

Memory counters at higher levels

Summary

14. Storage Counters

Multilayer storage

Contention counters

Utilization counters

Storage counters at the VM level

Putting it all together

VM storage counters – summary

Storage counters at the ESXi level

Storage counters at the cluster level

Storage counters at the datastore level

Storage counters at the datastore cluster level

Storage counters at higher levels

Capacity monitoring

At a glance

VMware VSAN

Monitoring VSAN

Disk

Disk groups

VSAN hosts

VSAN datastore

Summary

15. Network Counters

Network counters at the Guest OS level

Network counters at the VM level

Network counters at the ESXi level

Network counters at the cluster level

Network counters at the Distributed Switch level

Network counters at the distributed port group level

Network counters at higher levels

Network counters in NSX

Network counters for physical switches

Summary

Index

累计评论(0条) 0个书友正在讨论这本书 发表评论

发表评论

发表评论,分享你的想法吧!

买过这本书的人还买过

读了这本书的人还在读

回顶部