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  • Book Overview & Buying VMware vRealize Operations Performance and Capacity Management
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VMware vRealize Operations Performance and Capacity Management

VMware vRealize Operations Performance and Capacity Management

By : Rahabok
4.7 (6)
Buy this Book
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VMware vRealize Operations Performance and Capacity Management

VMware vRealize Operations Performance and Capacity Management

4.7 (6)
By: Rahabok
Buy this Book

Overview of this book

If you are an IT professional who is interested in performance management and capacity management in a virtual data center, then this book is ideal for you. The book is an intermediate-level book.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What this book is not
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
Free Chapter
1
1. Virtual Data Center – It's Not a Physical Data Center, Virtualized
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1. Virtual Data Center – It's Not a Physical Data Center, Virtualized
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Our journey into the virtual world
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Not all "virtualizations" are equal
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Virtual Machine – it is not what you think!
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Software-Defined Data Center
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A virtual data center versus a physical data center
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Management disciplines impacted by virtualization
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Summary
2
2. Capacity Management in SDDC
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2. Capacity Management in SDDC
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Shift in capacity management
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Capacity management at the VM level
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Capacity management at the infrastructure level
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Summary
3
3. Mastering the Key Counters in SDDC
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3. Mastering the Key Counters in SDDC
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First things first – the purpose
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Compute
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Network
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Storage
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Metric groups
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Counters in vCenter and vRealize Operations
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Summary
4
4. CPU Counters
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4. CPU Counters
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CPU counters at the VM level
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CPU counters at the ESXi level
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CPU counters at the cluster level
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CPU counters at higher levels
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CPU contention guidance
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Summary
5
5. Memory Counters
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5. Memory Counters
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Memory – not such a simple matter
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Memory counters at the VM level
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Memory counters at the ESXi level
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Memory counters at the cluster level
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Memory counters at higher levels
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Memory contention guidance
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Summary
6
6. Network Counters
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6. Network Counters
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Network monitoring and management
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Network counters at the VM level
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Network counters at the ESXi level
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Network counters at the cluster level
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Network counters at the Distributed Switch level
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Network counters at higher levels
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Summary
7
7. Storage Counters
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7. Storage Counters
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The multilayer storage
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Storage counters at the VM level
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Storage counters at the ESXi level
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Storage counters at the cluster level
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Storage counters at the datastore level
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Storage counters at the datastore cluster level
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Storage counters at the higher level
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Storage contention guidance
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Summary
8
8. Dashboard Examples and Ideas
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8. Dashboard Examples and Ideas
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Planning for your dashboards
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Use case – is virtualization causing a problem?
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Use case – managing the overall SDDC performance
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Use case – dashboards for the big screen
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Use case – storage performance management
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Use case – storage capacity management
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Use case – network performance management
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Use case – right-sizing large VMs
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Use case – capacity planning
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Summary
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References
9
Index
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Index

Storage contention guidance

The following table provides general guidance on storage contention. It must be read in conjunction with the CPU Contention Guidance section in Chapter 4, CPU Counters. I must emphasize that these are just guidelines—you should set the values according to the unique needs of your environment.

Object

Contention

Remarks

VM

Official SLA:

  • Tier 1: 10 milliseconds

  • Tier 2: 20 milliseconds

  • Tier 3: 30 milliseconds

Internal threshold:

  • Tier 1: 5 milliseconds

  • Tier 2: 15 milliseconds

  • Tier 3: 20 milliseconds

The internal threshold is lower as it serves as a buffer.

Your customers only care about their own VMs, so the following numbers are for your internal targets. You should have a more stringent internal threshold. This gives you a buffer to troubleshoot.

Object

Contention

Remarks

ESXi

NA

There is no need to track at this level because of the following reasons:

  • You already track contention at the VM level, datastore level, and array level.

  • VMs get vMotion-ed in the cluster...

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