7. Storage Counters | VMware vRealize Operations Performance and Capacity Management

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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

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Storage counters at the ESXi level

The storage counters at ESXi level are similar to those at the VM level. They provide the same set of information (latency, throughput, and IOPS). Each of the metric groups gives insight from the vantage point of the object. For example, the ESXi adapter metric group provides the data from each adapter (vmhba).

The following two tables show the set of counters available for each ESXi adapter and its associated storage paths.

Note

Notice that in the screenshot there is no total throughput counter, so you need to add write latency and read latency manually. vRealize Operations provides the total throughput counter via the Total Usage counter.

As shared earlier, you normally set four paths between an ESXi host and its target LUN. You set two HBAs (in case either one of them fails), and each HBA sees a port on each SP in the array (in case either SP fails).

ESXi adapter counters

This means that in the following storage path counters, you will have four sets of values...

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