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pgpulse
Observe every Postgres. Scale with confidence.
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".
Top comment
🚀 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."
About pgpulse on Product Hunt
“Observe every Postgres. Scale with confidence.”
pgpulse was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #158 on the daily leaderboard. 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".
On the analytics side, pgpulse competes within SaaS and Database — topics that collectively have 43.8k followers on Product Hunt. The dashboard above tracks how pgpulse performed against the three products that launched closest to it on the same day.
Who hunted pgpulse?
pgpulse was hunted by pavan bandaru. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of pgpulse including community comment highlights and product details, visit the product overview.