convex-performance-audit

Diagnose slow Convex reads by gathering signals from CLI insights or code audits to identify the strongest performance bottleneck, then applying proven reference patterns to reduce read amplification.

Excessive reactive invalidation in Convex subscriptions is caused by inefficient query patterns. You can optimize subscriptions by applying targeted reference patterns to lower conflict rates and reduce unnecessary data fetching.

Fix Convex OCC conflicts and budget overruns by auditing function budgets and conflict rates, then applying concrete fixes ordered by scope with guardrails to systematically resolve the issues.

Yes, you can use this audit for Convex migrations and backfills across client, server, and scheduled tasks by applying migration-safe workflows to escalate large optimizations without risking production health.

The best way to resolve Convex performance bottlenecks safely is to apply concrete fixes ordered by scope with guardrails and escalation steps, using migration-safe workflows to protect production health.