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Dashboard: Main

Screenshot - 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 two-hour interval breakdowns
  • Status Color Coding: Teal/turquoise bars for "Ok" status, coral/red bars for "Error" status, with legend showing Red for Error, Yellow for Warning, Blue for Running, and Teal for Ok states
  • Numerical Data Labels: Each bar displays specific count values for both Ok and Error statuses
  • Status Distribution: Chart shows predominantly "Ok" status executions with occasional error instances during the monitoring period

System Metrics Dashboard

Four key metric cards displaying:

  • Automation Tasks: 70 total tasks
  • Automation Flows: 28 active flows
  • Automation Models: 85 configured models
  • Elements: 49 system elements

UI Elements

Navigation Sidebar

Left-side navigation panel includes:

  • FLUX admin portal (dev): Main system identifier
  • Dashboard: Currently active section
  • Applications Section:
    • Automation
    • Inventory
    • Locations
    • Credentials
    • User log

Top Navigation Bar

  • Breadcrumb Navigation: Shows "MAIN Home > Dashboard" path
  • User Account: Displays logged-in user (ipenaa@zequenze.com) with Zequenze organization
  • System Controls: Language selector (UK flag), full-screen toggle, and dark mode toggle

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
  • Refresh Button: Manual refresh control for updating chart data

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
  • Inventory management
  • Locations configuration
  • Credentials management
  • User log functionality
  • System configuration settings

Data Displayed

Automation Logs Chart

  • Time Range: February 12, 6:00 PM through February 13, 4:00 PM (continuous 24-hour period with two-hour intervals)
  • Data Points: Two-hourly snapshots of automation execution throughout the full day
  • Status Values: Numerical counts showing both Ok statuses (ranging from 66 to 102 executions) and Error statuses (showing 12 errors at one interval)
  • Activity Pattern: Generally stable automation activity with most intervals showing 66-102 successful executions, with one interval showing 12 errors and 87 successful executions
  • Status Indicators: Bars primarily show teal "Ok" status with one coral/red "Error" indicator appearing as a stacked bar segment at February 13, 12:00 PM
  • Status Legend: Shows Ok (teal), Warning (yellow), Error (red), and Running (blue) 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

  • Export Data: Download chart data in CSV format for external analysis
  • Refresh Controls: Toggle auto-refresh or manually update data using the refresh button
  • View Selection: Change between different chart visualization modes

System Navigation

  • Deep Dive Analysis: Click on metric cards to access detailed management interfaces
  • Application Management: Navigate to Automation, Inventory, Locations, Credentials, or User log sections through the sidebar
  • Configuration Access: Navigate to settings and configuration sections

Notes/Tips

Best Practices

  • Regular Monitoring: Check the automation logs chart regularly to identify patterns or anomalies
  • Peak Hour Analysis: Use the two-hourly breakdown to optimize automation scheduling
  • Status Monitoring: Watch for color changes in the chart bars that might indicate warnings or errors
  • Error Detection: Pay attention to stacked bar segments showing error counts that indicate system issues requiring attention

Performance Insights

  • Activity Patterns: The chart shows generally stable automation execution with values between 66-102 successful executions per two-hour interval
  • System Health: Predominantly successful executions with one error occurrence (12 errors at 12:00 PM) indicating generally good system performance with isolated issues
  • 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

  • Status Consistency: Chart shows predominantly successful executions (teal) with one visible error cluster, indicating mostly stable system health with an isolated issue
  • Volume Patterns: Consistent activity levels throughout the 24-hour period with values remaining relatively stable between intervals
  • Error Visibility: Stacked bar visualization clearly highlights when errors occur, enabling quick identification of problem periods
  • 24/7 Monitoring: Continuous data collection enables proactive system management and real-time issue identification