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VMware vRealize Operations Performance and Capacity Management

By : Rahabok

4.7 (6)

VMware vRealize Operations Performance and Capacity Management

4.7 (6)

By: Rahabok

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.

Preface

Preface

What this book covers

What this book is not

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Virtual Data Center – It's Not a Physical Data Center, Virtualized

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

Customer Reviews

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Use case – right-sizing large VMs

The target user for this use case is the VM owner.

This is the most popular request from my clients. It is common for VMs to be sized conservatively by the application team. The result is that many VMs have too many vCPUs and vRAM. A larger VM does not necessarily mean a better-performing one. Once VMs are in production, it can be difficult to right-size them as it requires downtime and testing.

Besides wasting company resources, there are several disadvantages of having an oversized VM:

It takes longer to boot. If a VM does not have a reservation, vSphere will create a swap file the size of the configured RAM.
It takes longer to vMotion.
The RAM or CPU may be spread over a single socket. Due to the NUMA architecture, the performance will be inferior.
It will experience higher CPU co-stop and CPU ready time. Even if not all vCPUs are used by the application, the Guest OS will still demand all the vCPUs be provided by the hypervisor.
It takes longer to snapshot...

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