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

Some well-meaning but harmful advice


Can you figure out why the following statements are wrong? They are all well-meaning pieces of advice on the topic of capacity management. I'm sure you have heard them, or even given them.

Regarding cluster RAM:

  • We recommend a 1:2 overcommit ratio between physical RAM and virtual RAM. Going above this is risky.

  • Memory usage on most of your clusters is high, around 90 percent. You should aim for 60 percent as you need to consider HA.

  • Active memory should not exceed 50-60 percent. You need a buffer between active memory and consumed memory.

  • Memory should be running at a high state on each host.

Regarding cluster CPU:

  • The CPU ratio in cluster X is high at 1:5, because it is an important cluster.

  • The rest of your clusters' overcommit ratios look good as they are around 1:3. This gives your some buffer for spike and HA.

  • Keep the overcommitment ratio at 1:4 for tier 3 workload.

  • CPU usage is around 70 percent on cluster Y. Since they are User Acceptance Testing (UAT...