# Backpressure And Flow Control

> Design systems that apply backpressure and flow control so producers do not overwhelm consumers. Use when building streaming, messaging, or pipelined systems that must remain stable under load.

- Skill: `itsual/backpressure-and-flow-control` (Agent Skill)
- Install (CLI): `npx skillmds@latest add itsual/backpressure-and-flow-control`
- Raw SKILL.md: https://api.skillmd.com/api/skills/itsual/backpressure-and-flow-control/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: itsual (https://skillmd.com/u/itsual)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/itsual/backpressure-and-flow-control

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# Backpressure and Flow Control

## Overview

Without backpressure, fast producers can overwhelm slow consumers, leading to unbounded queues, memory exhaustion, and cascading failures.

## When to Use

- Streaming data pipelines
- Message consumers and event processors
- Any system with producers and consumers operating at different speeds

## Techniques

- Bounded queues with clear overflow behavior
- Reactive streams / async pull-based models
- Rate limiting and load shedding
- Credit-based or window-based flow control
- Circuit breaking when downstream is unhealthy

## Principles

- Prefer signaling upstream to slow down over unbounded buffering
- Make overload behavior explicit and observable
- Drop, sample, or reject work according to clear policy when necessary

## Verification

- System remains stable when consumers slow down or stop
- Overload behavior is tested and documented
- Key metrics (queue depth, drop rate, latency) are visible