Vacuum Seal Your MongoDB: Cuts Cost Down 50% Today

This article discusses ways to optimize MongoDB storage costs by reducing data storage and improving efficiency. The author suggests using a vacuum seal approach by removing infrequently accessed data, compacting collections, and using TTL indexes to expire unnecessary data. This can lead to a 50% reduction in storage costs. To apply these methods, engineers can use MongoDB commands and queries to identify and remove unnecessary data. The proactive approach of using TTL indexes is recommended for applications that generate large logs or have infrequently accessed data.