PySphere script to clone a template into multiple VMs with post processing

PySphere script to clone a template into multiple VMs with post processing

*There is a better/newer version of this script, for more details, check this post: – Or via github: *

For an internal test setup i needed to be able to deploy multiple VMs from a template without to much hassle. So i started thinking that the best way to approach this, would be using a script. At first i thought i had to do this using PowerCLI as this is the preferred VMware way of scripting.

Luckily i came across the wonderful site of PySphere, which is a Python library that provides tools to access and administer a VMware vSphere setup. As Python wasn’t my strong suite, i was in a bit of a dilemma, i had almost no experience with either of those languages, so which to go for. Altho PowerCLI/Powershell has a lot more possibilities, as it is maintained and developed by VMware itself, Python had the great advantage i could do it all in a more familiar environment (Linux). It’s also closer to the languages i know than Powershell is. So i decided to just go for Python and see if it got me where i wanted to go.

This script deploys multiple VMs from a single template, you can specify how many and what basename the VMs should have. Each VM gets a name starting with the basename and a number which increments with each new VM. You are able to specify at what number it should start. You can also specify in which resource pool the VMs should be placed.

And as a final feature, you can specify a script which should be called after the VM has successfully booted and the guest OS has initiated it’s network interface. This script will be called with two arguments: the VM name and it’s IP. You can even specify it may only return a valid IPv6 address (i needed this to deploy VMs in an IPv6-only test environment).

The output if run with the help argument (-h):

To run the script, the command should look something like this:

And finally, the script itself, you can also download it on Github:

The script is probably a work in progress, as there are a lot of possibilities for improvement, if you have any requests feel free to contact me!

This is the first Python script i’ve ever written, so forgive me if i made some basic mistakes against best practices. Feel free to submit a patch.

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