A fictional startup experienced a 20% increase in its MongoDB bill when Atlas auto-scaled to an M60. However, by profiling slow operations, fixing N+1 queries with $lookup, limiting/timeout of unbounded queries, refactoring giant documents, and reorganizing indexes in a 48-hour sprint, they reduced their monthly cost from $15,284 to $3,210 (-79%) and improved p95 latency from 1.9 s to 140 ms, without needing sharding.
At Q2BSTUDIO we are a development and technology services company specialized in optimizing the use of databases such as MongoDB. We help companies reduce costs, improve performance, and optimize their operations through customized and efficient solutions.
