Supabase makes it easy for developers to launch production-ready Postgres in minutes. But as applications scale, performance issues inevitably surface. CPU spikes, connection saturation, and degraded response times can be difficult to diagnose without query-level visibility or deep database expertise.

In this session, Supabase and Datadog will show how teams can monitor and optimize Supabase-backed applications end-to-end. Drawing from real customer scenarios, we’ll walk through common production issues seen in the field—what symptoms look like, how they impact application performance, and how developers can quickly identify the root cause using Datadog Database Monitoring. Along with practical best practices for operating Supabase in production, you’ll see how query-level visibility and explain plans connect rising latency directly to database behavior. We’ll also cover how to set up proactive alerts to catch issues before users feel the impact.

You’ll leave knowing how to detect common Postgres performance issues earlier, troubleshoot them faster, and scale Supabase workloads with confidence even if you’re not a database specialist.