dagu v0.1.0

Automation

Dagu — a local-first workflow engine and modern cron replacement: define DAGs in YAML and run shell/Docker/SSH jobs with a built-in web UI, no external database or broker. Deployed as a single host-networked Nomad service.

nomad-pack run dagu --registry nomploy

…or one line (add registry + run)

curl -fsSL https://packs.nomploy.com/install.sh | sh -s -- dagu

Needs nomad-pack on PATH. The script only adds the nomploy registry and runs this pack.

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1 task http 8080 1 volume image ghcr.io/dagucloud/dagu:latest tracks :latest image bumped today

Variables 9

values.hcl

Save as values.hcl, edit, then run:

nomad-pack run dagu -f values.hcl --registry nomploy

# The name of the Nomad job.
job_name = "dagu"

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

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

# The Dagu container image. Pin a tag in production.
image = "ghcr.io/dagucloud/dagu:latest"

# Host port for the Dagu web UI.
port = 8080

# Named volume for DAG definitions, logs and state (/var/lib/dagu).
data_volume = "dagu_data"

# Host path to the Docker socket, bind-mounted so DAGs can run Docker containers. Set to empty to disable.
docker_sock = "/var/run/docker.sock"

# Placement constraints. On a nomploy cluster: attribute = "$${meta.nomploy_control_plane}", operator = "=", value = "true".
constraints = []

# The task resources.
resources = {
    cpu    = 300
    memory = 256
  }

Name	Type	Default	Description
job_name	string	"dagu"	The name of the Nomad job.
namespace	string	"default"	The Nomad namespace to deploy into.
datacenters	list	["*"]	The datacenters to deploy to.
image	string	"ghcr.io/dagucloud/dagu:latest"	The Dagu container image. Pin a tag in production.
port	number	8080	Host port for the Dagu web UI.
data_volume	string	"dagu_data"	Named volume for DAG definitions, logs and state (/var/lib/dagu).
docker_sock	string	"/var/run/docker.sock"	Host path to the Docker socket, bind-mounted so DAGs can run Docker containers. Set to empty to disable.
constraints	list	[]	Placement constraints. On a nomploy cluster: attribute = "$${meta.nomploy_control_plane}", operator = "=", value = "true".
resources	object	{ cpu = 300 memory = 256 }	The task resources.

Back up this pack

This pack stores data in one Docker named volume: dagu_data

restic

# Run on the node hosting this pack. Point restic at your repo first:
#   export RESTIC_REPOSITORY="s3:https://<account>.r2.cloudflarestorage.com/<bucket>"
#   export RESTIC_PASSWORD="<repo-password>"
#   export AWS_ACCESS_KEY_ID=<key>  AWS_SECRET_ACCESS_KEY=<secret>
restic backup \
  /var/lib/docker/volumes/dagu_data/_data

rclone (sync to S3/R2)

rclone sync /var/lib/docker/volumes/dagu_data/_data backup:<bucket>/dagu_data

Paths assume the default Docker volume location (/var/lib/docker/volumes). Restore by stopping the job, restoring files into the same volume, and re-running the pack.

Readme

dagu

Dagu is a local-first workflow engine and a modern replacement for cron. You define workflows as DAGs in declarative YAML and Dagu runs them — shell commands, Docker containers, Kubernetes Jobs, remote commands over SSH and more — with a built-in web UI, scheduling, retries, logging and notifications. It's a single self-contained binary: no external database or message broker required.

This pack runs Dagu as a single host-networked Nomad service.

Deploy

nomad-pack run dagu --registry=nomploy

Open http://<node-ip>:8080 and create your first DAG.

Configuration

Variable	Default	Description
`image`	`ghcr.io/dagucloud/dagu:latest`	Container image (pin a tag in production).
`port`	`8080`	Host port for the web UI.
`data_volume`	`dagu_data`	Volume for DAGs, logs and state (`/var/lib/dagu`).
`docker_sock`	`/var/run/docker.sock`	Docker socket for container steps; `""` to disable.
`resources`	300 MHz / 256 MB	CPU and memory for the task.

Note: The Docker socket lets DAG steps start containers directly on the host — grant it only on nodes you trust, or set docker_sock="".

DAG definitions, run history and logs persist in data_volume.