Dashboard: Main

Overview

The Zequenze ControlCONTROL 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 hourlytwo-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 (rangingfor fromboth 27Ok toand 102Error in the current view)statuses
• Status Distribution: Chart shows predominantly "Ok" status executions with minimaloccasional error instances during the monitoring period

System Metrics Dashboard

Four key metric cards displaying:

• Automation Tasks: 10270 total tasks
• Automation Flows: 3028 active flows
• Automation Models: 14685 configured models
• Elements: 5949 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 (penaa@zequenze.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

Related Sections

Users can navigate to:

• Automation management

Inventory management Locations configuration Credentials management User log functionality System configuration settings Automation management tools

Data Displayed

Automation Logs Chart

• Time Range: February 2,12, 12:6:00 AMPM through February 3,13, 10:4:00 PM (continuous 24-hour period)period with two-hour intervals)
• Data Points: HourlyTwo-hourly snapshots of automation execution throughout the full day
• Status Values: Numerical counts showing both Ok statuses (ranging from 2766 to 102 executionsexecutions) perand hourError statuses (showing 12 errors at one interval)
• Activity Pattern: Generally stable automation activity with most hoursintervals showing 67-10066-102 successful executions, includingwith one significantinterval dipshowing to12 27 executions at 2:00 AMerrors and one87 warningsuccessful instance at 12:00 PMexecutions
• Status Indicators: Bars primarily show teal "Ok" status with one yellowcoral/red "Warning"Error" indicator andappearing oneas notablea dropstacked inbar volumesegment duringat earlyFebruary morning13, hours12:00 PM
• Status Legend: Shows Ok (teal), Warning (yellow), Error (red), Warning (yellow), 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
• UserApplication Log AccessManagement: Navigate to userAutomation, activityInventory, loggingLocations, 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
• Volume AnomalyError Detection: Pay attention to significantstacked dropsbar insegments executionshowing volumeerror counts that may indicate system issues requiring attention

Performance Insights

• Activity Patterns: The chart shows generally stable automation execution with values between 67-66-102 successful executions per hour,two-hour with one notable early morning dip to 27 executionsinterval
• System Health: Predominantly successful executions with minimalone warningerror instancesoccurrence (12 errors at 12:00 PM) indicating generally good overall 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 only one warningvisible instance,error cluster, indicating goodmostly stable system health with an isolated issue
• Volume Patterns: LowerConsistent activity duringlevels earlythroughout morningthe hours24-hour (2:00period AMwith dipvalues toremaining 27relatively executions)stable followsbetween typical automation scheduling patternsintervals
• MinimalError IssuesVisibility: SingleStacked warningbar indicatorvisualization showsclearly thehighlights systemwhen iserrors operatingoccur, withenabling minimalquick disruptionsidentification of problem periods
• 24/7 Monitoring: Continuous data collection enables proactive system management and real-time issue identification