Tracking Your Database Health Score Over Time

Database tuning has an accountability problem. You spend two hours on a Tuesday fixing autovacuum settings, dropping unused indexes, and creating missing ones. Your team asks "did it help?" and the best you can offer is "queries feel faster." Without trend data, you cannot prove the work mattered -- and work you cannot prove matters is work that gets deprioritized. What if you could show a graph proving your Vacuum domain score went from 60 to 95 after the change? Why Point-in-Time Checks Are Not Enough Running diagnostic queries during an incident tells you the current state. It says nothing about trajectory. Did the autovacuum tuning actually reduce dead tuple accumulation, or did a new high-churn table eat the gains? Is the sequential scan pattern gone, or did a new query introduce a different one? Without historical data, you cannot distinguish between "we fixed the problem" and "the problem temporarily subsided." Building Health Score Tracking Yourself In theory, you could build t