Turning Apache DolphinScheduler Into an Agent-Friendly Workflow Platform
1. Why Do We Still Need a CLI?
The Apache DolphinScheduler Web UI is well suited for designing, viewing, and monitoring workflows. However, when teams move toward automation, engineering teams still need additional capabilities:
- Batch disabling, updating, and releasing workflows during application releases;
- Managing workflow definitions in Git, so every change can be diffed, reviewed, and rolled back;
- Publishing workflows through CI/CD pipelines without manually constructing HTTP requests that may change across versions;
- Troubleshooting failed instances, reading logs, and performing recovery operations from terminals or jump servers;
- Allowing AI Agents to operate DolphinScheduler while keeping every invocation reviewable, results parseable, and processes traceable.
A CLI fills the gap beyond the Web UI by providing automation, batch operations, and programmability.
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dsctl [GitHub Repository] covers commands for:
- Resource management: tenants, users, data sources, resources, environments, Worker Groups, and alerts;
- Project configuration: projects, parameters, preferences, and project-level Worker Groups;
- Workflow...
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