Anonymized
Implementation details have been anonymized to protect intellectual property. The methodology, metrics, and results are real. For the full technical breakdown, reach out at tomas@omnimetrix.io.
Loop 06: Server-Side Query Cache
Skipped
This loop was skipped because it wasn't a true algorithmic improvement. The application already had caching implemented at the application layer, so adding a server-side query cache on the web analytics database was redundant.
BEFORE
AFTER
Loop 06: Server-Side Query Cache
What changed
Enabled the database engine's built-in query result cache with a 5-minute TTL. Three connection-level settings were added -- cache enabled, 300-second expiry, and population after the first execution. Identical queries within the TTL window return stored results without re-executing SQL. A 3-line configuration change with zero logic modifications.
Why we expected it to work
Identical request parameters produce byte-identical SQL. Common user behavior -- page reloads, tab switching, dashboard polling -- triggers repeated queries within short time windows. Every repeated query was hitting the database cold with no caching at any layer.
Results
| Metric | Before | After | Delta |
|---|---|---|---|
| Mean response time (warm) | 925ms | 214ms | -76.9% |
| Cold run (cache miss) | 925ms | 925ms | 0% (no penalty) |
| Best-case warm run | 925ms | 136ms | -85.3% |
Why it worked
Cache hits bypass query execution entirely, returning serialized results at network-transfer speed. The cold run carries no penalty -- it performs identically to baseline while populating the cache. The 5-minute TTL aligns with analytics usage patterns where underlying data changes infrequently within a request window. Different filter parameters produce separate cache entries, so there is no cross-query contamination.
Cumulative impact
Original: 1,829ms → After Loop 06 (cached): ~214ms (88.3% total reduction)