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Real World Snapshot of OS Distributions

September 22, 2014 Leave a Comment

There is a profusion of sources of data about the deployment of Operating Systems available today, just see the references for the usage share of operating systems for a sample. I’ve always wondered about the accuracy and real world applicability of that data.  Thus, I created a small data point in time snapshot of OS distributions thanks to a few anonymous contacts in my network.  The following graph shows both Production IT managed and Development Team (DevOps) managed environments that span both physical and virtual environments:

2014Q3 OS Distribution Snapshot

 

This is a data point as the total aggregate OS instances involved is below 250,000.  While the numbers in the graph represent both physical and virtual environments,  the Production side was over 85% virtualized and the Development side was over 75% virtualized.

How does this compare to your own internal OS Distributions?

Some of the interesting points that jumped out at me:

  • Maybe I’m dating myself here, but I remember when those Windows and Linux proportions used to be flipped…
  • Solaris and HPUX are still breathing…thought I think it’s safe to say they are on hospice care
  • There was a larger percentage of development running ESX Nested than running HPUX (even when nested ESX is not officially supported by VMware)
  • Windows deployments are lower in Development; the sources of these data points were not using Azure as far as I know, I wonder how Azure might impact a graph like this moving forward
  • Unsure how to read the significant delta between Solaris deployments on the Production side versus the Development side

Post a comment if you want to compare your environment to the above.  Since this is a data point snapshot I haven’t calculated any statistical margin of error…for entertaining discussion only. 🙂

Filed Under: Tech Industry, Technology Ramblings, Virtualization

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About latoga labs

Welcome to the career blog of Greg A. Lato (latoga). Discussing topics around business transformation & disruption, data management, ML/AI, IoT/IIoT, cloud, and technology flotsam.

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