The past two decades have seen significant advancements in storage hardware performance, with the introduction of solid state drives (SSD), transition from SATA to PCIe, and innovations in non-volatile memory technology. However, as devices' access times shrink, the cost of navigating software stack overhead becomes more prominent. Recent studies have shown that file system and other OS overhead still dominates I/O costs in very fast storage devices like Storage Class Memory (SCM). To address this challenge, academics proposed a new user-level file system, SplitFS, which reduces these overheads but is not viable for commercial products due to portability concerns. Fortunately, MongoDB's WiredTiger storage engine can be optimized to improve I/O performance by using memory-mapped files and batching expensive file system operations. By implementing these changes, WiredTiger achieved up to 63% performance improvements on mainstream SSDs.