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VMware Performance and Capacity Management, Second Edition

You're reading from   VMware Performance and Capacity Management, Second Edition Master SDDC Operations with proven best practices

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781785880315
Length 546 pages
Edition 2nd Edition
Tools
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Authors (2):
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Sunny Dua Sunny Dua
Author Profile Icon Sunny Dua
Sunny Dua
Iwan 'e1' Rahabok Iwan 'e1' Rahabok
Author Profile Icon Iwan 'e1' Rahabok
Iwan 'e1' Rahabok
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Table of Contents (20) Chapters Close

Preface Part 1 FREE CHAPTER
1. VM – It Is Not What You Think! 2. Software-Defined Data Centers 3. SDDC Management 4. Performance Monitoring 5. Capacity Monitoring Part 2
6. Performance-Monitoring Dashboards 7. Capacity-Monitoring Dashboards 8. Specific-Purpose Dashboards 9. Infrastructure Monitoring Using Blue Medora 10. Application Monitoring Using Blue Medora Part 3
11. SDDC Key Counters 12. CPU Counters 13. Memory Counters 14. Storage Counters 15. Network Counters Index

When is a peak not a true peak?

One common requirement I get from customers is the need to size for peaks. I've seen many mistakes in defining what a peak actually is.

So, let's elaborate on peaks.

How do you define peak utilization or contention without being overly conservative or aggressive?

There are two dimensions of peaks: you can measure them across time or across members of the group.

Let's take a cluster with eight ESXi hosts as an example. The following chart shows the ESXi Hosts Utilization for the eight hosts.

What's the cluster peak utilization on that day?

When is a peak not a true peak?

The two dimensions of peaks

As you can see from the graphs, it is not so simple. Let's elaborate:

  • Approach 1: You measure across time. You take the average utilization of the cluster, roll up the time period to a longer time period, and calculate the peak of that longer time period. For example, the average cluster utilization peaks at 65 percent at 9:05 am. You roll up the data for one day. This means the...
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