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 cluster level


vCenter does not provide a lot of memory counters at the cluster level. From the following performance chart dialog box, you can see that the number of counters drops to just five. Counters related to contention, such as Compression, Swap, and Latency, are no longer available. The Latency counter would be especially useful to track at the cluster level if you had a large environment.

Cluster memory counters in vCenter

The data is not available in real time. This means the data granularity is at 5-minute intervals, not 20 seconds. As the rollup is an average, it means any spike within a 5-minute period may not be visible. In practice, however, most performance problems would still likely be detectable with 5-minute data points.

The counters do not take HA into account. For example, the Total counter sums all the host physical memory.

The Consumed memory does not take into account the host memory. So the memory used by vmkernel is not included. This is practically...