Book Image

VMware Performance and Capacity Management, Second Edition - Second Edition

By : Sunny Dua
Book Image

VMware Performance and Capacity Management, Second Edition - Second Edition

By: Sunny Dua

Overview of this book

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.
Table of Contents (28 chapters)
VMware Performance and Capacity Management Second Edition
Credits
Foreword
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Part 1
Part 2
Part 3
Index

Storage counters at higher levels


As you might expect by now, vCenter does not provide information for storage at this level, but vRealize Operations does. The following table lists the key counters. Except for the World object, the rest of the objects provide all the counters. Notice that their values include local datastores. If you want to exclude the local datastores, create a group.

The Workload (%) counter is easier for the operations team, as it uses percentage rather than raw data. For example, if you have 20 vCenter Servers and they show different KBPS numbers, it is difficult to understand at a glance the significance of that value—is it higher, lower or the same as last time? If you use the 0-100 range as a percentage, you can color code the range to help the operations team.

Object

Purpose

Counters

Roll up

Datacenter

Contention

Disk Command Latency (ms)

Average

Datacenter

Utilization

Usage Rate (KBPS)

Average

Datacenter

Utilization

Commands per seconds (number)

...