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)

What are symptoms, recommendations, and actions?

Symptoms, recommendations, and actions combine to give alerts. In the following diagram, we can see where they all fit in relation to alerts:

What are symptoms?

Symptoms are made up of a single condition of an object. Conditions can be metric-based conditions, such as CPU usage greater than 90%, or property-based conditions, such as DRS equals Fully Automatic.

Within an alert, multiple symptoms can be grouped into symptom sets. For example, you may group symptoms such as Cluster CPU contention at critical level and cluster compute resource anomaly is critically high when evaluating the health and availability of a cluster.

The symptoms in each symptom set are evaluated for...