How it helps your business

Best for:High-traffic E-commerceReal-time AdTech & BiddingGaming & LeaderboardsAI & Feature StoresFinancial Trading Systems
Dragonfly is a next-generation, open-source in-memory data store that solves the modern challenges of scaling real-time applications. While legacy systems like Redis are hindered by single-threaded architectures, Dragonfly is built from the ground up to utilize every core of modern multi-core CPUs. This allows a single Dragonfly instance to handle millions of operations per second with sub-millisecond latency.
It provides 100% API compatibility with Redis, meaning you can drop Dragonfly into your existing infrastructure as a "black box" replacement and instantly see a massive performance boost without changing a single line of application code. Dragonfly excels in high-throughput environments where vertical scaling is preferred over the complexity of managing large, sharded clusters.
Self-hosting Dragonfly provides organizations with an elite-tier caching and data store engine that can consolidate dozens of Redis shards into a single, high-performance node, drastically simplifying their operational stack.

Key Benefits

  • Performance without Sharding: Scale vertically to handle terabytes of data on a single machine.
  • Drop-in Redis Replacement: All your favorite libraries, drivers, and tools work out of the box.
  • Superior Memory Efficiency: Store significantly more data in the same amount of RAM compared to Redis.
  • Modern Data Types: Power next-gen apps with native support for Vector Search and JSON.
  • Simplified Operations: Eliminate the complexity of cluster managers and sentinel setups.

Production Architecture Overview

A production Dragonfly deployment is incredibly lean:
  • Dragonfly Engine: The multi-threaded, statically linked binary.
  • Persistent Storage: High-speed SSDs for fast snapshotting and recovery.
  • Monitoring: Native Prometheus exporter for real-time performance tracking.
  • Load Balancer: Standard proxy (like HAProxy or Nginx) for high available setups.

How we deploy this for you

Security Hardened

Firewalls, SSL, and hardened kernels out of the box.

Performance Tuned

Optimized for speed with cache and DB fine-tuning.

Automated Backups

Daily off-site backups so you never lose your data.

Private Cloud

You own the server and the data. No middleman.

Implementation Blueprint

Prerequisites

sudo apt update && sudo apt upgrade -y
sudo apt install docker.io docker-compose -y
sudo systemctl enable docker
sudo systemctl start docker
shell

Docker Compose Production Setup

Deployment of Dragonfly with basic persistence and monitoring enabled.
version: '3'

services:
  dragonfly:
    image: docker.dragonflydb.io/dragonflydb/dragonfly:latest
    container_name: dragonfly
    ports:
      - "6379:6379"
    volumes:
      - dragonfly_data:/data
    command:
      - --dir=/data
      - --dbfilename=dump.rdb
      - --memcache_port=11211  # Optional Memcached support
    ulimits:
      memlock: -1
      nofile:
        soft: 65535
        hard: 65535
    restart: always

volumes:
  dragonfly_data:

Kubernetes Production Deployment (Recommended)

The Dragonfly Operator is the gold standard for managing instances on Kubernetes.
# Install the Operator
helm repo add dragonfly https://dragonflydb.github.io/dragonfly-operator
helm install dragonfly-operator dragonfly/dragonfly-operator --namespace monitoring --create-namespace

# Deploy an instance
kubectl apply -f https://raw.githubusercontent.com/dragonflydb/dragonfly-operator/main/config/samples/simple.yaml
Benefits:
  • Automated Snapshots: Schedule background snapshots to PVC or S3 buckets.
  • Safe Scaling: Vertically scale CPU and memory without interrupting service.
  • High Availability: Automatically manages failover and healing.

Scaling Strategy

  • Vertical Scaling: Simply increase the CPU cores and RAM allocated to the container. Dragonfly will automatically detect and utilize the new resources.
  • Persistence Tuning: For write-heavy loads, adjust the snapshot frequency to balance between recovery time and I/O overhead.
  • Network Optimization: In high-throughput settings, use host-networking to minimize Docker bridge overhead.

Security & Reliability

  • Password Protection: Always use the --requirepass flag to secure your instance.
  • TLS/SSL: Use a sidecar proxy (like Envoy or Nginx) to provide encrypted connections for sensitive traffic.
  • Regular Monitoring: Use the built-in Prometheus metrics to track memory usage and evictions to prevent OOM events.

Best place to host Dragonfly

We recommend Hostinger for its reliability and low cost. It's the perfect home for your new apps, featuring easy setup and 24/7 support.

Get Started on Hostinger

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