Comments (2)
@DevanshuSyk , this is probably due to the amount of recommendations that are being collected. There are two possible work-arounds:
- Implement an Automation Hybrid Runbook Worker, which allows you to have control on the amount of memory available for the job, and then reconfigure the SQL ingestion runbook to use the hybrid worker.
- Or filter out some high-volume recommendation types, such as Advisor Security, for example. To filter out Advisor Security recommendations, you can create an
AzureOptimization_AdvisorFilter
Automation variable and set it to the following:HighAvailability,Performance,OperationalExcellence
(we are leaving out the Security category).
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Thankx @helderpinto for quick response.I am closing the issue .If the filter doesn't work will implement a Hybrid Runbook worker.
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