# conn-pooling

> Postgres connections are expensive (1-3MB RAM each). Without pooling, applications exhaust connections under load.

- Source: https://doutorai.pt/en/components/skills__conn-pooling
- Type: Skills
- Category: Databases
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do databases tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/conn-pooling && curl -fsSL https://doutorai.pt/data/lib/skills__conn-pooling.md -o .claude/skills/conn-pooling/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

````
---
title: Use Connection Pooling for All Applications
impact: CRITICAL
impactDescription: Handle 10-100x more concurrent users
tags: connection-pooling, pgbouncer, performance, scalability
---

## Use Connection Pooling for All Applications

Postgres connections are expensive (1-3MB RAM each). Without pooling, applications exhaust connections under load.

**Incorrect (new connection per request):**

```sql
-- Each request creates a new connection
-- Application code: db.connect() per request
-- Result: 500 concurrent users = 500 connections = crashed database

-- Check current connections
sel

- 🔒 Full content on the Pro plan (€7.99/month) -
````

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__conn-pooling