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

Putting it all together


We've covered a lot of foundation. This is important as we need to get the theory right so we know that we understand reality correctly, because it will match the theory. You should have the expected result or baseline.

The way you perform capacity management changes drastically once you take into account performance and availability. Let's consider an example to drive the point. We'll take storage, as it's the easiest example:

  • Say your physical SAN array has 200 TB usable capacity.

  • It supports 1000 VMs, which take up 100 TB.

  • It has 100 TB usable capacity left. That's plenty of space.

  • Assuming an average VM occupies 100 GB of space, you can fit almost 1000 VMs!

My question is this: how many additional running VMs can that array support?

1000? 500? 1?

You are right—it depends on the VM IOPS. Just because there is space does not mean the array can handle the workload.

Now, what if the existing 1000 VMs are already experiencing high latency? Users are complaining as latency is...