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


Let's recap what we need to produce in order to monitor storage capacity:

  • A line chart showing the maximum and average storage latency experienced by any VM in the datastore cluster

  • A line chart showing the datastore disk capacity left in the datastore cluster

The first line chart tracks performance, while the second one tracks utilization.

Storage – performance

Just like compute, we just need to add the average super metric. The actual formula is as follows:

avg(${adaptertype=VMWARE, objecttype=VirtualMachine, attribute=virtualDisk|totalLatency, depth=2})

Storage – utilization

Storage disk capacity should be tied with your actual, physical capacity. If you are using thin provisioning at the storage layer, then you need to measure it at this level. I prefer to use thin on VMware and thick on physical arrays, as management is easier from the VMware administrator's viewpoint.

Just like compute, we are using the supply-demand approach, where:

  • Supply = The total datastore space capacity in the...