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Default lambda Memory allocation is 128MB, I am afraid if we are batching 10000 events that might sometimes lead to memory exceeding which would crash the lambda function. if we are doing that I would say let's make the batching configurable and add note that memory allocation should be increased relevant to the batching configuration
I tried it already and did some backfilling. memory did not exceed and I was hitting the 10k. But you might be right...
I am making it configurable...
However if we are doing multiple request back to axiom because of the batch sizes I don't think the default 300ms TTL of lambda would suffice!
WDYT?
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taken from #13
@a-khaledf :
@seiflotfy:
The text was updated successfully, but these errors were encountered: