Profiling a clinical API taught me MongoDB aggregation pipeline optimization lives or dies on stage order: $match first on indexes, $lookup join performance, then explain.
[ EXECUTIVE TEARDOWN // TL;DR ]
Put $match first and on indexed fields — every document eliminated early is one the rest of the pipeline never touches.
$lookup is a join: run it late (after match/limit) and index the foreign field, or it degrades to repeated scans.
Profile with explain('executionStats') and reorder by the real numbers, not intuition.
Design pipelines bottom-up: find the smallest set, then ensure every stage operates only on it.
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