pgpulse
Observe every Postgres. Scale with confidence.
pgpulse launched on April 30, 2026 with 2 votes, #4,561 of 21,248 launches that month.
What it does
pgpulse is an Autopilot for Postgres that turns Postgres internals into one health model that pgpulse scoring system that independently scores eleven critical health domains on a weighted 0–100 scale, automatically surfacing your highest-risk performance bottlenecks through an impact-sorted dashboard. AI insights Alerts and Critical gates along with Golden signals are the key core features to tell "what failed, how bad it is, and what to do next".
AI-powered PostgreSQL observability with Intelligent Pulse scoring, guided fixes, alerts, and Supabase-native coverage.
Intelligent Postgres observability with Pulse scoring, alerts, advisory, AI-powered runbooks, and hosted MCP access for AI workflows, turning database signals into clear visibility, guided investigation, and confident action. pgpulse continuously evaluates 11 health domains — from Freeze Risk to WAL Pipeline — and rolls them into a single 0–100 Pulse Score. When a gate fires, you know exactly what broke and how to fix it. Every domain is scored independently on a 0–100 scale, weighted by criticality, and sorted so the worst-performing areas always surface first. Gates fire the moment a threshold is crossed — each carries a severity level and deduplicated incident history so you never see…from pgpulse.io
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