Notes from the Dagu community on workflows, orchestration, and AI infrastructure.
Writing from the Dagu team and community.
The Gap Between Cron and Airflow
Cron is too small. Airflow is too big. Most teams live in the gap between them, duct-taping bash scripts or fighting a Python-shaped orchestrator. Here is why that gap exists, and why Dagu fits in it.
Own Your AI Harness: Why Workflow Sovereignty Will Define the Next Decade
Claude and OpenAI are racing past 'just a model' into platforms, harnesses, and workflows. That is a lock-in trap. The people who keep control of their AI workflows will win the next ten years.
Complete Guide to SubDAGs
A comprehensive guide to using SubDAGs in Dagu. Learn how to organize complex workflows by breaking them into reusable, modular components for better maintainability and scalability.
Using SSH Executor in Dagu: A Complete Guide
A comprehensive guide to using Dagu's SSH executor for running workflows on remote servers. Learn how to configure SSH authentication, manage remote tasks, and build distributed workflows.
Understanding Partial Success in DAG Systems: Building Resilient Workflows
Learn how to handle partial success scenarios in DAG-based workflow systems and build more resilient workflows with proper error handling strategies.
Dagu – L’orchestrateur de workflows pour oublier les crontabs
A French tech blog post exploring Dagu as the ideal middle ground between simple cron jobs and heavy orchestrators like Airflow. Covers how Dagu’s YAML-based DAG definitions bring clarity to complex job dependencies without requiring script rewrites.