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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
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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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Toc

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

Storage

Let's recap what we need to produce in order to monitor storage capacity:

  • A line chart showing the maximum and average storage latency experienced by any VM in the datastore cluster
  • A line chart showing the datastore disk capacity left in the datastore cluster

The first line chart tracks performance, while the second one tracks utilization.

Storage – performance

Just like compute, we just need to add the average super metric. The actual formula is as follows:

avg(${adaptertype=VMWARE, objecttype=VirtualMachine, attribute=virtualDisk|totalLatency, depth=2})

Storage – utilization

Storage disk capacity should be tied with your actual, physical capacity. If you are using thin provisioning at the storage layer, then you need to measure it at this level. I prefer to use thin on VMware and thick on physical arrays, as management is easier from the VMware administrator's viewpoint.

Just like compute, we are using the supply-demand approach, where:

  • Supply = The total datastore...
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