I will fix lovable database corruption slow lovable database crash lovable logs audit


About this gig
lovable database fix, lovable database slow, lovable supabase crash, lovable data corruption, lovable audit logs, lovable database error, lovable query timeout, lovable database recovery, lovable performance fix, lovable data loss, lovable database backup, lovable supabase optimization, connection pool, lovable deadlocks, query optimization
Your Lovable app is dying queries crawl, data disappears, and your database crashe under load. Every slowdown costs you users. Every corruption risks your business. Every missing audit log is a compliance nightmare you can't explain. I rescue your data: fix corruption, rebuild performance, stop crashes, and install audit trails that track every change. I find exactly where your database bleeds, patch the wounds, and build monitoring so it never happens again.
SERVICES I OFFER:
Database corruption diagnosis and repair
Query performance optimization
Connection pooling and crash prevention
Audit logging and compliance tracking
Data recovery and backup restoration
Index optimization and query rewriting
Deadlock detection and resolution
Database schema repair
Let's find what's killing your database before your next crash. Send your Lovable link
Get to know Oscar T
- FromMexico
- Member sinceAug 2025
- Avg. response time3 days
Languages
English, Spanish, Italian
My Portfolio
FAQ
How do I know if my database is corrupted?
Missing records, impossible values, foreign key failures, or queries returning wrong results. I audit and surface hidden corruption you haven't found yet.
Why is my Lovable app so slow?
Usually missing indexes, N+1 queries, unoptimized RLS, or connection limits. I profile every query and fix the worst offenders first.
Can you recover lost data?
Often yes from backups, WAL logs, or partial recovery. "Rescue" attempts basic recovery. "Bulletproof" includes forensic-level restoration.
What are audit logs and why do I need them?
Every data change tracked: who, what, when, old value, new value. Required for compliance, essential for debugging, critical when things go wrong.
How do you prevent future crashes?
Connection pooling, query timeouts, rate limiting, resource quotas, and automated alerts. I build guardrails so your database survives traffic spikes.
