dagu-webui

vinnie357's avatarfrom vinnie357

Guide for using the Dagu Web UI to manage, monitor, and execute workflows through the browser interface

⭐0stars🔀0forks📁View on GitHub🕐Updated Dec 14, 2025

When & Why to Use This Skill

This Claude skill provides a comprehensive guide for navigating and utilizing the Dagu Web UI to manage automated workflows. It empowers users to monitor real-time execution, analyze historical logs, and control workflow lifecycles through an intuitive browser interface, significantly enhancing operational visibility and troubleshooting efficiency for DevOps and automation tasks.

Use Cases

  • Real-time Workflow Monitoring: Track the live status and progress of complex automated tasks with visual indicators and real-time status updates.
  • Troubleshooting and Debugging: Access and analyze detailed execution logs (stdout/stderr) directly through the browser to quickly identify and resolve step-level failures.
  • Workflow Lifecycle Management: Manually trigger, stop, or retry workflows and manage execution schedules via the UI without requiring CLI access.
  • Dependency Visualization: Use the DAG (Directed Acyclic Graph) view to inspect workflow structures and understand complex task dependencies at a glance.
  • Historical Performance Analysis: Review past execution records and data to identify performance bottlenecks or recurring issues in automated pipelines.
namedagu-webui
descriptionGuide for using the Dagu Web UI to manage, monitor, and execute workflows through the browser interface

Dagu Web UI

Use this skill when working with Dagu's web interface to manage workflows, view execution history, monitor running workflows, or configure the UI.

When to Use This Skill

Activate when:

  • Navigating the Dagu web interface
  • Starting, stopping, or retrying workflows via UI
  • Viewing workflow execution logs and status
  • Monitoring running workflows
  • Managing workflow history
  • Configuring workflow schedules through the UI
  • Troubleshooting workflow issues using the UI

Core Capabilities

The Dagu Web UI provides:

  1. Workflow Management - View, start, stop, and manage workflows
  2. Execution Monitoring - Real-time status and logs
  3. History Viewing - Past execution records and results
  4. DAG Visualization - Visual representation of workflow structure
  5. Log Access - View detailed execution logs
  6. Schedule Management - Configure when workflows run

Quick Start

Access Dagu Web UI at http://localhost:8080 (default) after starting Dagu:

dagu server

Primary Operations

Start a Workflow

To manually execute a workflow:

  1. Navigate to workflow list
  2. Click the workflow name
  3. Click "Start" button
  4. View real-time execution progress

Monitor Execution

For detailed information on a running workflow, consult references/monitoring.md which covers:

  • Reading execution logs
  • Understanding status indicators
  • Tracking step progress
  • Identifying failures

View History

To review past executions, see references/history.md for guidance on:

  • Filtering execution history
  • Analyzing failed runs
  • Comparing execution times
  • Exporting execution data

Workflow Visualization

The DAG view shows workflow structure. For detailed visualization features, see references/visualization.md.

When to Consult References

  • Detailed UI navigation: Read references/ui-navigation.md
  • Advanced monitoring: Read references/monitoring.md
  • History analysis: Read references/history.md
  • Workflow editing via UI: Read references/workflow-editor.md
  • Configuration options: Read references/configuration.md

Common Tasks

Restart a Failed Workflow

  1. Find the failed execution in history
  2. Click the retry/restart button
  3. Monitor the new execution

Stop a Running Workflow

  1. Navigate to the running workflow
  2. Click "Stop" or "Cancel"
  3. Confirm the action
  4. View cleanup handlers execution

View Detailed Logs

When you need to debug a workflow:

  1. Click on the specific workflow execution
  2. Select the step with issues
  3. View stdout/stderr logs
  4. Check for error messages

For advanced log analysis, consult references/monitoring.md.

Key Principles

  • Real-time visibility: Web UI provides live updates of workflow execution
  • Click-based operations: No CLI needed for basic workflow management
  • History preservation: All executions are logged and accessible
  • Visual feedback: Status indicators show current state at a glance
  • Log accessibility: Detailed logs available for debugging

Pro Tips

  • Use the search feature to quickly find workflows by name
  • Filter execution history by date range or status
  • Click on step names in DAG view for step-specific details
  • Use the refresh button if live updates seem delayed
  • Check the scheduler status to verify cron jobs are active