Last year, on a client project, I noticed a sudden spike in disk usage on a PostgreSQL database server. The system was running a critical production ERP, and disk fill rates exceeding 90% were a serious alarm signal. One of the first places I checked, of course, was the pg_wal directory. As I suspected, this directory was overflowing with gigabytes, even terabytes, of WAL (Write-Ahead Log) files. This situation is actually a classic scenario that many system administrators or developers using Po