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

NetApp storage


Storage is often visualized as the bottom of the enterprise hardware stack—and with good reason. Storage resource performance is paramount to a high-performance data center. It underpins the viability of your entire operation. The management pack for NetApp storage brings the machine-learning powers of vRealize to your controllers, LUNs, volumes, aggregates, clusters, and disks, letting you proactively monitor your storage layer.

The NetApp logical architecture

Information is collected by way of NetApp's API services, an HTTP REST interface that allows access to NetApp performance data without affecting performance.

The key indicators for NetApp performance are latency and IOPS. These metrics are front and center in the NetApp Overview dashboard. Heat maps are presented for each piece of a NetApp array, from a high-level roll-up view of the system down to individual volumes. The color of each object gives an immediate reading of its performance:

The NetApp Overview dashboard showing...