scaling-guide

Performance Considerations for High-Volume Multica Workspaces: Scaling Guide

April 11, 2026 multica-ai/multica ↗

Multica workspaces scale horizontally through lock-striped WebSocket fan-out, paginated SQL queries with composite indexes, and tuned pgx connection pools, but require careful handling of back-pressure and deep pagination limits.

When a Multica workspace grows to thousands of members and tens of thousands of issues, several architectural components in the multica-ai/multica codebase become critical to keep latency low and resource usage predictable. Real-time updates, database query patterns, and connection management must be carefully tuned to avoid bottlenecks. Below is a deep dive into the specific performance

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