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dragonfly v0.1.0

Databases

DragonflyDB — a modern, multi-threaded in-memory datastore that is drop-in compatible with the Redis and Memcached APIs, built for high throughput on a single node. Deployed as a host-networked Nomad service with snapshots on a persistent volume.

nomad-pack run dragonfly --registry nomploy

Source ↗ Project ↗ ★ 31.7k

1 task db 6379 1 volume image docker.dragonflydb.io/dragonflydb/dragonfly:latest
Pairs with redis-exportervalkey
Variables 9
values.hcl

Save as values.hcl, edit, then run:

nomad-pack run dragonfly -f values.hcl --registry nomploy
# The name of the Nomad job.
job_name = "dragonfly"

# The Nomad namespace to deploy into.
namespace = "default"

# The datacenters to deploy to.
datacenters = ["*"]

# The DragonflyDB container image. Pin a tag in production.
image = "docker.dragonflydb.io/dragonflydb/dragonfly:latest"

# Host port Dragonfly listens on (Redis/Memcached-compatible).
port = 6379

# Optional password (--requirepass). Empty = no auth (fine on a trusted network).
password = ""

# Docker named volume for /data (snapshots). Dragonfly runs as root, so a fresh volume is writable. Back it up.
data_volume = "dragonfly_data"

# Placement constraints — pin to one node so the local volume stays put. On a nomploy cluster: attribute = "$${meta.nomploy_control_plane}", operator = "=", value = "true".
constraints = []

# The task resources. Dragonfly is multi-threaded and memory-first — give it real memory (docs suggest 4GB+ to see its benefits).
resources = {
    cpu    = 1000
    memory = 1024
  }
NameTypeDefaultDescription
job_name string 
"dragonfly"
 The name of the Nomad job.
namespace string 
"default"
 The Nomad namespace to deploy into.
datacenters list 
["*"]
 The datacenters to deploy to.
image string 
"docker.dragonflydb.io/dragonflydb/dragonfly:latest"
 The DragonflyDB container image. Pin a tag in production.
port number 
6379
 Host port Dragonfly listens on (Redis/Memcached-compatible).
password key string 
""
 Optional password (--requirepass). Empty = no auth (fine on a trusted network).
data_volume string 
"dragonfly_data"
 Docker named volume for /data (snapshots). Dragonfly runs as root, so a fresh volume is writable. Back it up.
constraints list 
[]
 Placement constraints — pin to one node so the local volume stays put. On a nomploy cluster: attribute = "$${meta.nomploy_control_plane}", operator = "=", value = "true".
resources object 
{
    cpu    = 1000
    memory = 1024
  }
 The task resources. Dragonfly is multi-threaded and memory-first — give it real memory (docs suggest 4GB+ to see its benefits).
Readme

dragonfly

DragonflyDB — a modern, multi-threaded in-memory datastore that's drop-in compatible with the Redis and Memcached APIs, designed for very high throughput on a single node. Host-networked Nomad service with snapshots on a persistent volume.

Usage

nomad-pack registry add nomploy github.com/Nomploy/nomad-packs
nomad-pack run dragonfly --registry nomploy

In nomploy: create a Compose service, type Nomad Pack, pack dragonfly, custom registry github.com/Nomploy/nomad-packs, then Deploy. Point any Redis client at <node-ip>:6379.

Key variables

Variable Default Notes
image docker.dragonflydb.io/dragonflydb/dragonfly:latest Pin a tag in production.
port 6379 Listen port (Redis-compatible).
password "" Empty = open; set --requirepass.
data_volume dragonfly_data Snapshots. Back it up.
constraints [] Pin to a node so the local volume stays put.
resources cpu 1000 / mem 1024 Give it real memory — Dragonfly shines with 4GB+.

Notes