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

Dashboards for the storage team


Chapter 11, SDDC Key Counters, explains how distributed storage, such as VSAN, differs fundamentally from centralized storage. Chapter 14, Storage Counters, shows that this results in different objects and counters. This chapter shows an example of how we monitor them.

LUN performance monitoring

A common requirement of storage monitoring is to see the data at the physical storage level. The data at this level eliminates the information at VM level. If the performance is good at this level but poor at the VM level, you should check the disk queue length inside the Guest OS.

ESXi tracks the latency on each device it sees; this means LUNs (in central storage) or physical disks (in distributed storage). For central storage, this means VMFS datastores. There are no devices in NFS datastores.

For distributed storage, ESXi has to be able to see the physical disk. If the disk is directly passed through to the VM, it is no longer visible by the vmkernel. The vmkernel...