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

Memory counters at higher levels


As covered earlier in the book, vCenter does not provide information at this level. vRealize Operations provides a set of counters at the vCenter object level. There are, naturally, fewer counters for these higher-level objects, as we just need a summary:

Object

Purpose

Counters

Roll up

Datacenter

Contention

Contention (%)

Average

Datacenter

Utilization

Workload (%)

Average

vCenter

Contention

Contention (%)

Average

vCenter

Utilization

Workload (%)

Average

World

Contention

Contention (%)

Average

World

Utilization

Workload (%)

Average

The Contention counter is an average. As an average of a group with many members tends to be low, you should complement it with a super metric that is based on the peak contention of a member cluster.

Usage/Usable (%) is no longer relevant once you incorporate performance in your capacity management.