Cut Your MongoDB Costs by 79% with Shape‑First Optimizations
SMRTR summary
A startup's MongoDB bill spiked 20% due to auto-scaling. Through optimizing queries, refactoring data structures, and improving indexing, they reduced monthly costs by 79% (from $15,284 to $3,210) and improved performance significantly. The case study outlines specific techniques like fixing N+1 queries, capping unbounded queries, and breaking up large documents to achieve dramatic improvements in database efficiency and cost.
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