convex-performance-audit

To find Convex performance bottlenecks, you need to audit code paths, database reads/writes, and trigger patterns to identify hot-path issues and propose fixes like indexing or denormalization.

High read amplification and write contention in Convex are caused by inefficient hot-path reads and overlapping document triggers. Auditing subscription and write patterns surfaces these conflicts for targeted optimization.

Optimize slow UI paths in Convex by assessing hot-path reads to reduce unnecessary database reads and subscription invalidations, then applying fixes like indexing or splitting hot documents.

The best way to reduce unnecessary reads in Convex is to audit query code paths to detect read amplification, then apply precise optimizations such as indexing, denormalization, or splitting hot documents.

You should split hot documents to fix Convex write contention when an audit reveals OCC conflicts and high write frequency on specific documents, which splitting distributes to reduce contention.

Yes, you can use a Convex performance audit for production apps. It analyzes production insights, read/write contention, and trigger patterns to provide actionable guidance and guardrails for teams.