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

Capacity monitoring


As we do capacity monitoring at the datastore cluster level, it becomes important that we know how the numbers are derived. Let's use an example as a way to test our understanding.

The following example uses a datastore cluster that has three datastores. Each has 1 TB, mapped to a 1 TB LUN. Let's verify what contributes to the Free column.

Datastore information in vCenter

To verify whether it is based on Thin, I added all the VMs in the datastore cluster, shown in the next diagram:

VM storage information in vCenter

Notice that they did not add up to what we saw at the datastore level. At the datastore level, it shows that the usage is more than 130 GB. At the VM level, the total used space is less than 20 GB. Something does not tally. Can you guess four reasons that can contribute to this discrepancy?

Let's browse the datastore. We find the first reason: we have non-VM objects. In this case, we have ISO files.

Datastore – the file-browser UI

The following diagram explains the...