How to create unrealistic hero numbers while showcasing storage performance

This is follow up to my previous post, which can be found here.

Disclaimer: following tests are done just to show how easy it is to do bogus performance testing or showcase false performance numbers and demonstrate Nutanix analytics capabilities to catch these unrealistic results. This does not represent in any shape or form normal performance of Nutanix . Nor does it imply that Nutanix is using these techniques while publishing performance numbers. This is NOT a true or realistic benchmark or should NOT be interpreted as one.

Once again I am withholding some key information about the configuration and workload characteristics. I’ve chosen to do this to comply with Nutanix EULA. This is also done to prevent anyone copying the tests and then running them on a competing product and then claiming that my box is faster than yours. Since this a bogus test, doing that would be silly, but you never know, there are plenty of crazy people to go around đꙂ Continue reading “How to create unrealistic hero numbers while showcasing storage performance”

Performance testing pitfalls with artificial load generators

Since I’ve now written few posts about NetApp, it is time to switch gears. While I am quite noob with Nutanix, I’d like share something about Nutanix as well.

I received a demo unit from Nutanix a while go. One way to get familiar with a product is to put some load on to it and see what happens.

Because I am going to show some performance figures and Nutanix EULA forbids publishing benchmarking results, I am not going to disclose the configuration of the Nutanix box. This way performance figures are just numbers, not benchmarking results and hopefully I am not breaching the EULA. Furthermore without disclosing all the workload parameters and the configuration of the box, metrics such as “IOPS” and “Latency” are just numbers without relevance and should not be used in any comparisons with other products. Continue reading “Performance testing pitfalls with artificial load generators”