Does this skill provide help with real-time log monitoring?

Yes, it includes guidance on accessing live stdout and stderr logs for specific workflow steps during active execution.

How do I access the Dagu Web UI using this skill?

The Dagu Web UI is typically accessed at http://localhost:8080 after executing the 'dagu server' command in your terminal.

Can I restart a failed workflow directly from the UI?

Yes, you can navigate to the execution history, identify the failed run, and use the retry button to restart the process.

Can I manage cron schedules through the Web UI?

Yes, the Web UI allows you to view, configure, and verify the status of active workflow schedules and cron jobs.

What is the benefit of the DAG visualization feature?

The DAG view provides a visual map of your workflow's dependencies, allowing you to see task relationships and identify bottlenecks at a glance.

Dagu Web UI Management

Name: Dagu Web UI Management
Author: vinnie357

byvinnie357

•

分析与监控

Manages and monitors Dagu workflows through a centralized web interface for real-time visibility into DAG executions.

The Dagu Web UI skill provides comprehensive guidance for navigating and operating the Dagu browser-based interface. It enables users to start, stop, and retry workflows, visualize complex Directed Acyclic Graphs (DAGs), and access real-time execution logs and historical data. This skill is essential for developers and DevOps engineers who need to troubleshoot workflow issues, monitor scheduled tasks, or manage orchestration processes through a visual dashboard rather than the command line.

主要功能

01Workflow lifecycle management including start, stop, and retry

02Visual DAG representation for dependency tracking

03Comprehensive execution history and performance analysis

04Real-time workflow status monitoring and execution logs

059 GitHub stars

06Centralized schedule configuration and cron job management

使用场景

01Monitoring scheduled automation jobs through a centralized dashboard

02Visualizing and verifying the structure of complex data pipelines

03Troubleshooting failed workflow steps using live stdout and stderr logs

主要功能

01Workflow lifecycle management including start, stop, and retry

02Visual DAG representation for dependency tracking

03Comprehensive execution history and performance analysis

04Real-time workflow status monitoring and execution logs

059 GitHub stars

06Centralized schedule configuration and cron job management

使用场景

01Monitoring scheduled automation jobs through a centralized dashboard

02Visualizing and verifying the structure of complex data pipelines

03Troubleshooting failed workflow steps using live stdout and stderr logs