convex-performance-audit

To diagnose slow Convex application response times, you can run a performance audit to identify issues like read amplification, subscription bottlenecks, and write contention. This process utilizes code-based diagnostics and runtime insights to pinpoint specific performance problems.

Write contention and OCC conflicts in Convex databases occur when multiple transactions attempt to modify the same data simultaneously, causing aborts and retries. A performance audit can identify these specific conflict patterns through code-based diagnostics and runtime signals.

You can audit Convex subscriptions for read amplification by analyzing runtime insights to detect excessive data fetching. The performance audit process evaluates subscription efficiency and provides structured, code-based diagnostics to guide necessary optimizations.

Yes, you need the Convex runtime environment and related tooling to execute a performance audit. The diagnostic process relies on gathering live runtime insights and signals from your deployed application code to accurately identify and resolve performance bottlenecks.

The best way to optimize Convex function limits and database reads is through a structured performance audit that identifies slow features and read amplification. It provides step-by-step guidelines to implement code-based fixes and improve overall application efficiency.