Forum Discussion

ebee's avatar
ebee
Helper I
9 months ago
Solved

Scale embedded sku level automatically - without lag?

Hi.   I've used two methods to scale our embedded sku level dynamically. Both have a lag of many minutes, during which the users can't use the reports, or have long waiting times.   First I used ...
Need Help
  • v-achippa's avatar
    v-achippa
    9 months ago

    Hi ebee,

     

    Thank you for the response, scaling is the best step for now to help reduce the lag. And also yes logging and access to embedded CPU logs can sometimes introduce latency, once you get a chance to look into it, trying a more streamlined or lightweight logging method could help a lot. For now, I would recommend continuing with capacity scaling and monitoring the performance like how the lag changes.

     

    Thanks and regards,

    Anjan Kumar Chippa

     

     

ebee's avatar
ebee
Helper I
9 months ago

Hi. Yes, I still need help. I don't think we can scale our power bi business unless I get the lag to 30 seconds or less.

As for the hybrid workers I mentioned, I don't think that will help. The culprit is logging, or accessing embedded cpu logs in timely manner afaik. I will have a look at some streaming method mentioned somewhere, but won't have time to work on this soon.

v-achippa's avatar
v-achippa
Community Support
9 months ago

Hi ebee,

 

Thank you for the response, scaling is the best step for now to help reduce the lag. And also yes logging and access to embedded CPU logs can sometimes introduce latency, once you get a chance to look into it, trying a more streamlined or lightweight logging method could help a lot. For now, I would recommend continuing with capacity scaling and monitoring the performance like how the lag changes.

 

Thanks and regards,

Anjan Kumar Chippa

 

 

  • v-achippa's avatar
    v-achippa
    Community Support
    9 months ago

    Hi @ebee,

     

    We wanted to kindly follow up to check if the solution I have provided for the issue worked? or let us know if you need any further assistance.

     

    Thanks and regards,

    Anjan Kumar Chippa