The Complete Production SOP: How to Deploy and Run DragonflyDB Multi-Threaded Redis Alternative in Autonomous AI Agents

---
name: "dragonflydb-multithreaded-cache"
description: "Achieve millions of QPS per node using modern multi-threaded share-nothing DragonflyDB."
metadata:
  author: "DragonflyDB"
  version: "1.0.0"
  runtime_compatibility:
    - "codex"
    - "claude-code"
    - "cursor"
    - "windsurf"
triggers:
  - "deploy dragonflydb"
  - "benchmark dragonfly vs redis"
  - "configure dragonfly cache tiering"
permissions:
  fs_read: true
  fs_write: "workspace"
  shell_exec: false
  net_access: false
---

# DragonflyDB Multi-Threaded Redis Alternative
Optimizes high-volume memory workloads with DragonflyDB: modern hardware architecture, vcache tiering, zero fork latency snapshots, and up to 25x higher throughput.

services:
  cache:
    image: docker.dragonflydb.io/dragonflydb/dragonfly:latest
    ulimits:
      memlock:
        soft: -1
        hard: -1
    ports:
      - "6379:6379"
    command: ["--maxmemory=16GB", "--cache_mode=true"]

import { createClient } from 'redis';

// Connect directly via standard Redis protocol with 0 driver modifications
export const cache = createClient({
  url: process.env.DRAGONFLY_URL || 'redis://127.0.0.1:6379'
});

cache.on('error', (err) => console.error('Dragonfly Engine Error:', err));
await cache.connect();

#!/usr/bin/env bash
set -euo pipefail

STATUS=$(redis-cli -p 6379 PING)
if [ "$STATUS" != "PONG" ]; then
  echo "DragonflyDB is not responding to PING"
  exit 1
fi

THREADS=$(redis-cli -p 6379 INFO SERVER | awk -F: '/active_threads/ {print $2}' | tr -d '\r')
echo "Verification passed: DragonflyDB running on ${THREADS} worker threads."