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General,

Sizing up the VMware Horizon View Infrastructure

I have seen many VMware View environments (or Horizon View as it is called now) being under utilized which defeats the purpose of Virtualization in the first place. To have a proper utilization, resource requirements need to be calculated and the process is not as straight forward. So in this post I shall provide a high level view of the process of sizing up the infrastructure for Horizon View.

The data metrics assessment can be performed on Physical Desktops or Virtual Desktops (Migration V2V scenarios). There are four main components that we need to collect data metrics on to help size up the supporting infrastructure. Those components are: CPU, RAM, Network and Disk.

The objectives for the assessment are:

– Establish baseline for average user.

– Classify users into groups based on resource consumption.

– Identify top applications used and their resource requirements.

– Identify any potential risks to the VDI deployment.

Some of the key metrics we will be collecting and analyzing:

  • CPU usage
  • Memory usage
  • Network throughput
  • Network latency
  • Disk IOPS
  • Disk Read
  • Disk Write
  • Disk throughput
  • List of most applications used
  • Number of monitors
  • Graphics Requirements
Once these metrics are collected, we need to analyze it and build a use cases for the different users groups.
For example:
Lets say in our scenario Company ABC has 1,000 users. Based on our assessment we have determined:
  • 100 will use applications that require at least 8 GB RAM and 2 vCPUs and 2 monitors
  • 300 users will have medium resource requirements of 3 GB RAM and 1vCPU
  • 600 users will use kiosks with low resource requirements of 2 GB RAM and 1 vCPU
Trying to support all these users in one desktop pool will lead to an underutilized desktop pool as we will have to use the highest requirement group as our baseline. Instead we will classify these users into 3 main Desktop Pools:
  • Power Users: This desktop pool will be based on an image for 100 users that require 2 monitors, 8 GB RAM and 2 vCPUs.
  • Knowledge Users: This desktop pool will be based on an image for 300 users that require 3 GB RAM and 1vCPU.
  • Task Users: This desktop pool will be based on an image for 600 users that require 2 GB RAM and 1 vCPU
Also storage tearing might be needed to allocate to the different Users Groups based on their needs. Power users for example can be allocated high performance tiered storage while the task users can be allocated a lower tiered storage.
In another blog post I will walk you through example calculations for each component. The other thing I want to cover in this post quickly is the tools used for assessment. There are various options available for collecting the data metrics the choice usually comes down to cost. If the organization is willing to invest, then Liquidware Labs Stratusphere FIT is a great tool. This tool will provide a very detailed insight over your environment allowing for better educated decisions. However, if budget is an issue, then there is a good free tool, Windows Performance Monitor (PerfMon) which will provide you with good details, but not as detailed as  Stratusphere FIT but good enough for gathering basic resource requirements.

Thank you for reading.

Nick

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Recent Comments

  • Pane on Cloud Chaos to Cloud Control: The Governance Playbook You Need Now
  • TJ on Cloud Chaos to Cloud Control: The Governance Playbook You Need Now
  • Mike A on Cloud Chaos to Cloud Control: The Governance Playbook You Need Now
  • Virtual Tarzan on Crafting an Effective Enterprise Multicloud Strategy
  • James on Crafting an Effective Enterprise Multicloud Strategy

Categories

  • AI-ML
  • Azure Architecture
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  • Cloud Security
  • Cloud Strategy
  • Compliance
  • Digital Transformation
  • EUC
  • General
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