pgSentry
PostgreSQL-only. The micro-DBA for modern engineering teams
What it does
Postgres often fails silently (bloat, replication lag/WAL growth, inactive replication slots, slow query regressions, blocking locks). pgSentry watches your DB and turns those signals into a clear dashboard + severity-ranked, actionable recommendations (with copy-paste SQL fixes) — before they become incidents. Works with AWS RDS, Supabase, Neon, Google Cloud SQL, and self-hosted.
Does a similar job
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Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…
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Hey HN, I built pg-mcp, a Model Context Protocol (MCP) server for PostgreSQL that provides structured schema inspection and query execution for LLMs and agents. It's multi-tenant and runs over HTTP/SSE (not stdio) Features - Supports multiple database connections from multiple agents - Schema Introspection: Returns table structures, types, indexes and constraints; enriched with descriptions from pg_catalog. (for well documented databases) - Read-Only Queries: Controlled execution of queries via MCP. - EXPLAIN Tool: Helps smart agents optimize queries before execution. - Extension…
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- DLDatabase Labs – Postgres as a Service2014 · databaselabs.io · ▲46
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