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Dear All,
We are an ISV trying to load test PowerBI Gen2 for Embedded. We see great performance in rendering compared to Gen1. But since the reports need to be refreshed regularly I think the bottleneck will be backend CPU Utilization. We need to profile how many reports we can run under a certain amount of capacity so we know how to pass this cost on to our customers.
As an example I have uploaded a test dataset and manually refreshed it. In Gen2 Utilization Metrics app (which is a bit limited at the moment) I can see this refresh used backend utilization of 506 seconds.
Would it be a fair calculation with Gen2 to assume that since there are 86400seconds/day I *should* be able to refresh copies of this report 86400/506 = 171/day?
Or with 0.5 core(s) available 86400/2/506 = 85/day
Obviously this assumes each report is actually identical and our backend is consistent etc.. But I'm trying to come up with some way I can calculate scalability and cost.
Any other suggestions would be helpful thanks!
Hi, @markive
https://community.powerbi.com/t5/Service/Power-BI-stress-test-for-premium-capacity/m-p/1190334
https://powerbi.microsoft.com/en-us/blog/announcing-power-bi-embedded-generation-2-preview/
https://docs.microsoft.com/en-us/power-bi/developer/embedded/power-bi-embedded-generation-2
Hope this helps.
Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution and give it a thumbs up to help the other members find it more quickly.
Hi, thanks for the reply but I have read all of these and this is not what we are trying to achieve.
None of the articles or documentation deals with profiling REFRESH stress testing.
I need to be able to calculate the scale of refreshing we can achieve at what cost to pass on to my customers and all of the existing tools / articles deal only with render performance or for Gen1 dataset memory usage. I have done this part of the project, now I need to calculate the refresh scalability.
Thanks!
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