Launched this week

pgpulse

Launched this week

Observe every Postgres. Scale with confidence.

7 followers

Observe every Postgres. Scale with confidence.

7 followers

Visit website

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".

Interactive

Free Options

Launch tags:SaaS•Database

Launch Team / Built With

ElevenAgents by ElevenLabs — Scale conversations without scaling your team

Scale conversations without scaling your team

Promoted

Maker

📌

🚀 Introducing pgPulse: Autopilot for Postgres Postgres is the backbone of the modern stack, but managing it at scale often feels like flying a plane in a storm without a radar. When things go wrong, you’re stuck digging through logs and raw metrics, trying to piece together a story while your performance tanks. pgpulse changes that. It’s an Autopilot for Postgres that translates complex internals into a single, intuitive health model. Core features of pgpulse: - The Pulse Scoring System with Weighted Impact and automatic Prioritization: The Domains: Freeze Risk, Replication, Connections, Locks, Bloat, Vacuum, Queries, WAL, Disk, Objects, and Memory. - Critical Gates: Set automated guardrails that prevent bad deployments or configurations from reaching production. - Golden Signals: We monitor Latency, Traffic, Errors, and Saturation to give you the industry-standard view of your database health. - Smart Alerts: Silence the noise. pgPulse alerts you based on health degradation, not just arbitrary thresholds. - AI Insights: Don't just look at a red bar; understand it. Our AI analyzes the "why" behind the score drops. - Index advisor: Index guidance helps engineering teams act on query-path issues without forcing every investigation into a full manual tuning exercise. "Observe every Postgres instance through one health model, catch failure earlier, and scale with confidence."

Report

4d ago

Forum Threads

p/pgpulse

•

4d ago

pgpulse- Postgres native Observability platform

Hello everyone , we have built pgpulse from many months and had already a bera launch in public and is being used by many users. I cannot hold myself to launch pgpulse Officially now .
We built pgpulse because Postgres operators already have dashboards. What they don't have is an answer. Every incident starts the same way: you know something is wrong, but the truth is buried across connections, locks, vacuum state, replication lag, and query behavior. pgpulse is the judgment layer Postgres has always been missing one live health score, 11 weighted domains, and hard-failure detection that tells you what broke, how bad it is, and what to do next.
lets keep discussing about pgpulse and its features from now on, stay tuned , explore already here https://pgpulse.io

View all