convex-performance-audit

To audit a Convex app, start from the strongest signal available such as deployment health or insights to identify the primary performance bottleneck and begin remediation. A structured workflow maps these signals to targeted fixes.

Slow pages and high read/write patterns in a Convex app are typically caused by hot-path reads, write contention, or subscription overhead. An audit identifies these specific bottlenecks and maps them to guardrails for fixes.

Resolving OCC conflicts and write contention requires identifying the problematic write patterns through signals. A structured audit maps these contention signals to targeted references and guardrails to guide safe remediation.

Reducing subscription overhead involves identifying the overhead through insights or code audits, then applying a structured remediation workflow that scales fixes across related functions and backfills for a migration-safe plan.

Yes, you can begin the audit directly from convex insights signals. The workflow maps those insights to targeted references and guardrails, outputting a migration-safe remediation plan for your application.

Yes, the audit applies a structured remediation workflow that scales across related functions and backfills, ultimately outputting a migration-safe remediation plan to fix hot-paths, OCC conflicts, and subscription budgets.