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VMware vRealize Operations Performance and Capacity Management

By : Iwan 'e1' Rahabok
Book Image

VMware vRealize Operations Performance and Capacity Management

By: Iwan 'e1' Rahabok

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VMware vRealize Operations Performance and Capacity Management
Iwan 'e1' Rahabok
Dec, 2014 | 276 pages
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Table of Contents (18 chapters)
VMware vRealize Operations Performance and Capacity Management
VMware vRealize Operations Performance and Capacity Management
Credits
Credits
Foreword
Foreword
Foreword
Foreword
About the Author
About the Author
Acknowledgments
Acknowledgments
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Virtual Data Center – It's Not a Physical Data Center, Virtualized
Virtual Data Center – It's Not a Physical Data Center, Virtualized
Our journey into the virtual world
Not all "virtualizations" are equal
Virtual Machine – it is not what you think!
Software-Defined Data Center
A virtual data center versus a physical data center
Management disciplines impacted by virtualization
Summary
2
Capacity Management in SDDC
Capacity Management in SDDC
Shift in capacity management
Capacity management at the VM level
Capacity management at the infrastructure level
Summary
3
Mastering the Key Counters in SDDC
Mastering the Key Counters in SDDC
First things first – the purpose
Compute
Network
Storage
Metric groups
Counters in vCenter and vRealize Operations
Summary
4
CPU Counters
CPU Counters
CPU counters at the VM level
CPU counters at the ESXi level
CPU counters at the cluster level
CPU counters at higher levels
CPU contention guidance
Summary
5
Memory Counters
Memory Counters
Memory – not such a simple matter
Memory counters at the VM level
Memory counters at the ESXi level
Memory counters at the cluster level
Memory counters at higher levels
Memory contention guidance
Summary
6
Network Counters
Network Counters
Network monitoring and management
Network counters at the VM level
Network counters at the ESXi level
Network counters at the cluster level
Network counters at the Distributed Switch level
Network counters at higher levels
Summary
7
Storage Counters
Storage Counters
The multilayer storage
Storage counters at the VM level
Storage counters at the ESXi level
Storage counters at the cluster level
Storage counters at the datastore level
Storage counters at the datastore cluster level
Storage counters at the higher level
Storage contention guidance
Summary
8
Dashboard Examples and Ideas
Dashboard Examples and Ideas
Planning for your dashboards
Use case – is virtualization causing a problem?
Use case – managing the overall SDDC performance
Use case – dashboards for the big screen
Use case – storage performance management
Use case – storage capacity management
Use case – network performance management
Use case – right-sizing large VMs
Use case – capacity planning
Summary
References
Index
Index

Memory counters at higher levels

As covered earlier in the book, vCenter does not provide information at this level. vRealize Operations provides a set of counters at the vCenter level. There are, naturally, fewer counters for these higher-level objects, as we just need a summary.

Object

Purpose

Counters

Roll up

Description

Data center

Contention

Contention (%)

Average

As it is an average, you should complement it with a super metric that is based on peak contention of a member cluster

Data center

Utilization

Workload (%)

Average

For the lower threshold

Data center

Utilization

Usage/Usable (%)

Average

For the upper threshold

vCenter

Contention

Contention (%)

Average

As it is an average, you should complement it with a super metric that is based on peak contention of a member data center

vCenter

Utilization

Workload (%)

Average

For the lower threshold

vCenter

Utilization

Usage/Usable (%)

Average

For the upper threshold

World

Contention

Contention (%)

...
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