convex-performance-audit

To find performance bottlenecks in a Convex app, analyze hot-path reads, OCC conflicts, subscription invalidation, and function budgets using dashboard signals and code inspection. Map symptoms to problem classes and recommend fixes like indexing, denormalization, or batching.

High subscription costs in Convex stem from excessive subscription invalidation. Trace data reads and writes across tables to isolate root causes, then apply optimizations like indexing or denormalization to reduce unnecessary reactive updates and improve app reliability.

Resolving OCC conflicts in Convex involves tracing write contention paths and mapping symptoms to targeted fixes. Move work to actions or apply batching to reduce contention, verifying sibling function patterns to ensure cross-path consistency and regression-free rollouts.

Auditing Convex function budgets and hot-path reads relies on signals from developer dashboards alongside code inspection. Scoping concrete user flows and tracing read/write paths across tables allows you to isolate root causes even with partial dashboard insights.

The best way to optimize slow Convex user flows is scoping concrete paths, tracing table reads and writes, and mapping symptoms to recommended fixes. Apply indexing, denormalization, or batching with guardrails to ensure safe, incremental optimizations.