Book Image

Mastering vRealize Operations Manager - Second Edition

By : Spas Kaloferov, Chris Slater, Scott Norris
Book Image

Mastering vRealize Operations Manager - Second Edition

By: Spas Kaloferov, Chris Slater, Scott Norris

Overview of this book

In the modern IT world, the criticality of managing the health, efficiency, and compliance of virtualized environments is more important than ever. With vRealize Operations Manager 6.6, you can make a difference to your business by being reactive rather than proactive. Mastering vRealize Operations Manager helps you streamline your processes and customize the environment to suit your needs. You will gain visibility across all devices in the network and retain full control. With easy-to-follow, step-by-step instructions and support images, you will quickly master the ability to manipulate your data and display it in a way that best suits you and your business or technical requirements. This book not only covers designing, installing, and upgrading vRealize Operations 6.6, but also gives you a deep understanding of its building blocks: badges, alerts, super metrics, views, dashboards, management packs, and plugins. With the new vRealize Operations 6.6 troubleshooting capabilities, capacity planning, intelligent workload placement, and additional monitoring capabilities, this book is aimed at ensuring you get the knowledge to manage your virtualized environment as effectively as possible.
Table of Contents (17 chapters)

Rebalancing workloads with vRealize Operations and DRS

The Datacenter Workload Status may show the Rebalance and Schedule buttons as grayed out if you are not meeting all the requirements for Intelligent Workload Placement, which will not allow you to rebalance workload distribution in your data center or CDC.

Creating a custom data center

As we already mentioned in this book, a Custom Data Center (CDC) can be used to perform capacity management and planning across disparate groupings of capacity providers.

Let's take a look at all the workloads in our datacenter:

In this example, as we mentioned already, we can have the following clusters:

  • CLU-COMP-A-01: A compute cluster, which is powered off and in this lab used...