Backend bug fixes and database hardening

When a product experiences traffic spikes, backend shortcuts that worked fine in testing begin to surface. Database connection limits get exhausted, edge functions exceed execution thresholds, and asynchronous webhooks fail silently without retry mechanisms.

We inspect your server infrastructure, database queries, and background workers to eliminate bottlenecks and stabilize your backend operations.

Sound familiar?

• Your Postgres database shows 100% CPU usage or throws connection pool exhaustion errors (too many clients already).
• API requests take several seconds to return, stalling frontend page rendering.
• Background tasks and automated webhooks drop data during peak traffic windows.
• Race conditions cause duplicate database rows, such as double payments or duplicated accounts.
• Your development team spends more time patching recurring backend bugs than releasing product features.

What we fix

• Database query optimization & indexing: We inspect Postgres query performance plans (EXPLAIN ANALYZE), identify slow sequential scans, and construct multi-column indexes to reduce execution times from seconds to single-digit milliseconds.
• Connection pool configuration: We configure connection poolers like PgBouncer and Supavisor to keep connection limits stable even when hundreds of concurrent users connect.
• Edge function & worker stabilization: We resolve timeout failures, eliminate blocking synchronous calls, and implement asynchronous queue processing.
• Webhook idempotency: We rewrite payment and integration webhook receivers so that duplicate events cannot charge customers multiple times or corrupt user balances.
• Data integrity & transaction safety: We encapsulate multi-table updates within ACID database transactions, preventing partial data writes when errors occur halfway through an operation.

How it works

1. Root cause tracing: We review application logs, database execution metrics, and error rates to pinpoint the exact bottleneck.
2. Hardening in staging: Fixes are developed and pressure-tested against realistic data loads in a staging environment.
3. Controlled production release: Database migrations and configuration updates are applied with zero downtime and rollback safeguards.
4. Post-release performance verification: We monitor execution latencies for 48 hours to confirm query speeds and server stability remain consistent.

Questions

How fast can an urgent backend bottleneck be resolved?

For critical production outages, such as locked connection pools or crashing database instances, we can begin live diagnosis within hours and deploy emergency pool configuration fixes the same day.

Do you optimize databases outside of Supabase?

Yes. While we specialize in Supabase and PostgreSQL, we diagnose and optimize backends built on standard Postgres, MySQL, Redis, AWS RDS, Neon, and Railway.