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Dashboard: Main

Screenshot - Dashboard: MainScreenshot - Dashboard: Main

Overview

The Zequenze Control Portal Dashboard provides a comprehensive monitoring and management interface for automation systems. This main dashboard view displays real-time automation logs, performance metrics, and system statistics over a 24-hour period, enabling administrators to monitor system health and automation execution status.

Key Features

Real-Time Automation Monitoring

  • Automation Logs Per Status Chart: Visual representation of automation execution logs displayed as stacked bar charts
  • 24-Hour Time Period: Data visualization covering the last 24 hours with hourly breakdowns
  • Status Color Coding: Teal/turquoise bars for "Ok" status, with legend showing Yellow for Warning, Red for Error, Teal for Ok, and Purple for Running states
  • Numerical Data Labels: Each bar displays specific count values (ranging from 161 to 198197 in the current view)
  • Status Distribution: Chart shows predominantly "Ok" status executions with one bar containing small error and running segments

System Metrics Dashboard

Four key metric cards displaying:

  • Automation Tasks: 102 total tasks
  • Automation Flows: 30 active flows
  • Automation Models: 146 configured models
  • Elements: 40 system elements

UI Elements

Navigation Sidebar

Left-side navigation panel includes:

  • Applications Section:
    • Automation
    • Inventory
    • Users
    • Alfred
    • Locations
    • Files
    • Credentials
    • Links
  • System Management:
    • Organization
    • Settings
    • Tools
    • Protocols
    • User log

Top Navigation Bar

  • Breadcrumb Navigation: Shows "Home > Dashboard" path
  • User Account: Displays logged-in user (ja_docs@zequenze.com) with Root organization
  • System Controls: Language selector (UK flag), full-screen toggle, and dark mode toggle
  • Edit Button: Located in top-right corner for dashboard customization

Chart Controls

  • Auto-refresh Toggle: Set to "Auto: off" with dropdown options
  • Time Period Selector: "24 hours" with dropdown for different time ranges
  • Data Export Options: "Bar (stack)" view selector and CSV export functionality

User Interactions

Dashboard Monitoring

  • Real-time Data Viewing: Monitor automation execution patterns throughout the day
  • Status Analysis: Identify peak automation periods and potential issues
  • Time-based Filtering: Adjust time periods to view different data ranges

Navigation Options

  • Sidebar Navigation: Click on any menu item to access specific system functions
  • Breadcrumb Usage: Navigate back to previous sections using breadcrumb links
  • Quick Access: Use metric cards to jump to detailed views of tasks, flows, models, or elements

Navigation

Access Path

  • URL: https://flux-dev.zequenze.com/admin/
  • Direct Access: Main landing page after login to the admin portal
  • Breadcrumb: Home > Dashboard

Users can navigate to:

  • Automation management tools
  • System configuration settings
  • User and organization management
  • File and credential management

Data Displayed

Automation Logs Chart

  • Time Range: January 1, 6:00 PM through January 2, 4:00 PM (24-hour period)
  • Data Points: Hourly snapshots of automation execution
  • Status Values: Numerical counts ranging from 161 to 198197 executions per hour
  • Activity Pattern: Consistent automation activity with a peak of 198196 executions at 10:00 AM showing a small red error segment (marked with "14") and purple running segment (marked with "30")
  • Status Indicators: One bar displays small colored segments including a red error segment and purple running segment, while all others maintain the standard teal "Ok" status
  • Status Legend: Shows Warning (yellow), Error (red), Ok (teal), and Running (purple) status indicators

System Statistics

  • Current Counts: Real-time metrics for all major system components
  • Resource Overview: Quick assessment of system configuration and capacity

Actions Available

Dashboard Management

  • Edit Dashboard: Customize dashboard layout and components using the Edit button
  • Export Data: Download chart data in CSV format for external analysis
  • Refresh Controls: Toggle auto-refresh or manually update data

System Navigation

  • Deep Dive Analysis: Click on metric cards to access detailed management interfaces
  • Configuration Access: Navigate to settings and configuration sections
  • User Management: Access user and organization management tools

Notes/Tips

Best Practices

  • Regular Monitoring: Check the automation logs chart regularly to identify patterns or anomalies
  • Peak Hour Analysis: Use the hourly breakdown to optimize automation scheduling
  • Status Monitoring: Watch for color changes in the chart bars that might indicate warnings, errors, or running processes
  • Error Detection: Pay attention to red segments in bars indicating automation failures or errors
  • Running Process Monitoring: Pay attention to purple segments in bars indicating active automation processes

Performance Insights

  • Activity Patterns: The chart shows consistent automation execution with values between 161-198197 per hour, with a peak of 198196 executions at 10:00 AM
  • Error Monitoring: Small red error segment visible in one bar indicates minimal automation failures
  • Running Process Detection: Small purplePurple running segment (marked with "30") indicates active automation processes that are currently executing
  • Status Distribution: Predominantly successful executions with minimal error instances demonstrate healthy system operation
  • Resource Planning: Use the metrics to plan for system capacity and resource allocation
  • Trend Analysis: Monitor changes in automation volume over time to identify growth patterns and potential issues

System Health Indicators

  • Teal Status Bars: Indicate successful automation executions
  • Red Error Segments: Signal automation processes that encountered failures
  • Purple Running Segments: Signal automation processes currently in execution
  • Status Legend: Clear visual indicators help identify different execution states (Warning, Error, Ok, Running)
  • Volume Consistency: Generally stable execution volumes with peak activity periods indicating normal system operation
  • 24/7 Monitoring: Continuous data collection enables proactive system management and real-time process tracking