# PG Observability Map 1.0.0 visualizes PostgreSQL internals across versions

> **Key takeaway:** A new open-source web tool maps PostgreSQL system views, functions, and diagnostic statistics to their architectural contexts with version-aware navigation up to PostgreSQL 19.

**Published:** 2026-11-07T14:02:06.064041+00:00 
**Source:** PostgreSQL Official News 
**Category:** databases-storage 
**Canonical URL:** https://fosswire.org/news/pg-observability-map-100-visualizes-postgresql-internals-acr.html 

## Summary
The PG Observability Map project has released version 1.0.0, an interactive browser-based tool for exploring PostgreSQL's observability surface. It provides a visual interface to navigate system views, functions, and internal statistics, with each element mapped to its corresponding architectural area within the database engine. The tool supports multiple PostgreSQL versions including the upcoming PostgreSQL 19 release, and runs without installation as a lightweight web application.

The project is released as open source under the PostgreSQL ecosystem umbrella, with source code hosted on GitHub and a live demo available. It targets database administrators, SREs, and developers who need to understand PostgreSQL's diagnostic and metrics infrastructure without manually cross-referencing documentation across versions.

## What PG Observability Map provides
- **Visual system view mapping:** The tool renders interactive diagrams of PostgreSQL system views, functions, and statistics, replacing manual catalog queries with a navigable interface.
- **Architectural contextualization:** Each observable element is tied to its specific PostgreSQL architectural subsystem, helping users understand which database component generates a given metric or diagnostic.
- **Version-aware navigation:** The interface supports filtering and exploration across PostgreSQL versions, including pre-release PostgreSQL 19 support for forward compatibility testing.
- **Browser-based deployment:** The tool requires no server-side installation or compilation, running entirely in the client browser for immediate access to the live demo or self-hosted deployment.

## Why it matters
PostgreSQL's system catalogs and statistics views have grown substantially across recent releases, making this tool valuable for operators who must diagnose performance or behavior across heterogeneous version fleets. By lowering the barrier to understanding internal diagnostics, it complements existing CLI tools like pg_stat_statements and pg_stat_activity with a discoverability layer that reduces onboarding time for new DBAs and supports migration planning to PostgreSQL 19.