Base
Hardened build
minimal ports, security patches applied at build time
Dagu on Ubuntu 24.04
Azure
Developer Tools
Dagu, a self contained workflow and cron orchestration engine that runs, schedules and monitors YAML defined DAGs from a built in web UI, with a unique admin password generated on first boot.
Overview
Dagu is a self contained workflow and cron orchestration engine. You describe your work as a DAG, a directed acyclic graph of steps, in a single readable YAML file, and Dagu runs it on demand or on a schedule, resolving dependencies between steps and handling retries, timeouts, preconditions and lifecycle hooks. A built in web UI lets you browse workflows, start and stop runs, watch each step of a run graph in real time and inspect per run logs and history, while a REST API and command line interface drive the same engine from scripts.
It suits engineers and data teams who want a lightweight replacement for scattered cron jobs and shell scripts: data pipelines, backups, batch jobs, edge and IoT automation and general internal task automation on a single machine, with no database or message broker to operate.
Why the cloudimg image
cloudimg ships Dagu hardened, fully patched and reverse proxied behind nginx, so a working orchestration server is running within minutes of launch, with an example workflow already in place. Dagu serves its web UI unauthenticated by default, and this image closes that gap: Dagu's own HTTP Basic authentication is enabled and, on the first boot of every instance, a unique administrator password is generated and written to a file only the root user can read, so no two deployments share a credential and none is baked in. Dagu stays bound to the loopback interface behind the proxy. It comes with a paired deployment guide and 24/7 cloudimg support.
Common uses
- Replacing scattered cron jobs with scheduled YAML workflows
- Orchestrating data pipelines, backups and batch jobs
- Running and monitoring automation from a built in web UI
See it running
Real screenshots taken while testing this image against its deployment guide.
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