Hello @ITWhisperer, Thank you for your response. If I take duration of last 10 days, for some hours I get more index data points than event data points, and over the time it changes to more event data points to index data points. Additionally, there is no clear cyclic pattern observed during the day when this change happens, that some duration of time former is observed and some other duration latter is observed. The problem I am trying to solve is to identify potential data ingestion issue that may exist with respect to a given data source. That is the anticipated pattern would have event data points and indexed data points closely follow same pattern and the event data points volume will be slightly greater than or equal to indexed data points. But, when the event data points pattern and indexed data points pattern are not same over the same period of time or we may have more number of indexed data points than event data points, that is when the issue may be occurring. This is the problem I am trying to identify at run time or close to run time and later address with respect to each data source. Please share if the above helps to answer your questions to seek more guidance on the topic. Thank you
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