One could enhance checksum usage by not only checking at the table level but also inspecting individual table pages. This granular analysis might surface subtle corruption patterns. In addition to PostgreSQL server logs, an analysis of the Write-Ahead Log or WAL will highlight operations that precede a corruption. Correlating these patterns to application logs helps pinpoint root causes. A proactive addition will be to implement checksum checks immediately before and after significant data change operations rather than waiting for upgrade times. Consider introducing fuzz testing during regular operation with the database, for example using synthetic data, to find new failure points that can surface in real-world operations. And not just software, but a connection to a system’s hardware is needed - that is to include checking the SMART data on the storage drive or the system itself. Using systems with ECC RAM capabilities will further minimize corruption at database level.