Stop rebuilding the wallet and the guest list on every check
`viewFor` fetched the recipient's Cheddar balance and queried the whole organization's member list — both per RECIPIENT, on every published frame. At a full tab...
Serve a reopened window only what it missed, and audit a page in one write
Two costs, both paid on every single open of a chat window. ?since on GET /sessions/{guid}/messages. A window being reopened wants the messages after the one i...
Accept a BLAKE3-only claim so dedup is faster than uploading
The link endpoint demanded both hashes. A browser has no fast SHA3-256, so proving it already had a 358 MB file took ~20 seconds against an 18.8 second upload —...
Store geo on ticket at creation, drop GeoLite reads
**************** now captures the visitor's geo once (via GeoLookupService) and persists ip/country/city/subdivision on the SupportTicket itself. SupportTicket...
Bulk-load visitors and skip GeoLite lookup in list
The /api/support/tickets list endpoint was running, per page of 20 rows: - 20 **************** calls (N+1) - 20 calls into GeoLookupService.lookup, each of ...
Skip DB member lookup for messages auth check
Extract getMemberIdFromRequest() that reads memberID from the Redis session without hitting the DB. Use it in getMessages() instead of getCurrentMember() — the ...
Eliminate per-request logging overhead and async TTL refresh
- k8s configmap (the actual production config): lower security/hikari logging from INFO/DEBUG to WARN, add HikariCP pool config (max 20) - KSessionService: st...
Reduce log noise and tune connection pool
- Lower Spring Security from TRACE to WARN and HikariCP from DEBUG to WARN — eliminates dozens of synchronous log writes per request - Add explicit HikariCP p...
Remove per-message logging from chat message endpoint
Remove System.out.println calls inside the message stream map that were firing once per message (100 I/O operations per request), and the final log that streame...
Refactor to parallel deployment for k1m1 and k2m1
- Split build and deployment into separate jobs - Deploy to k1m1 and k2m1 in parallel after build completes - Reduces total deployment time significantly
Revert to docker driver for faster builds - removes docker-container overhead
Switch to docker-container driver with cache for optimal build performance
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