convex-performance-audit

Diagnose Convex application latency and OCC conflict errors by auditing hot-path reads, write contention, and subscription costs using CLI insights and code analysis to identify primary bottlenecks.

High read amplification in Convex stems from inefficient transaction management and subscription overhead. Reduce it by applying index optimization, denormalization, and targeted fixes to lower transaction work.

Optimize Convex subscription costs by analyzing reactive query patterns and applying actionable strategies like batching mutations, denormalization, and managing function budgets to reduce overhead.

Yes, this performance audit approach specifically targets production-grade Convex projects experiencing write contention by tracing hot paths and applying targeted fixes to reduce transaction work.

Convex apps experience slow read paths during peak traffic due to read amplification and excessive subscription overhead. Trace the hot path and apply index optimization and batching mutations to resolve it.

Avoid denormalization for Convex performance bottlenecks when the issue stems from write contention or OCC conflicts rather than read amplification, as it may increase transaction work without reducing latency.