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, TealRed for Error, Blue for Ok, and RedOrange for ErrorRunning states
• Numerical Data Labels: Each bar displays specific count values (ranging from 42161 to 196 in the current view)
• AnomalyStatus DetectionDistribution: Chart displaysshows significantpredominantly variations"Ok" instatus automationexecutions execution,with includingone periodsbar ofcontaining dramaticallya reducedsmall activityred error segment

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

Related Sections

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, 2:3:00 PM through January 2, 12:1:00 PM (24-hour period)
• Data Points: Hourly snapshots of automation execution
• Status Values: Numerical counts ranging from 42161 to 196 executions per hour
• Activity Pattern: VariableConsistent automation activity showing normalstable operations (160-196 executions) with onevalues notableprimarily significantbetween drop to 42161-196 executions atper the end of the monitoring periodhour
• Status Indicators: One bar showsdisplays yellowa warningsmall indicatorred error segment (marked with "14" at the top), while all others maintain the standard teal "Ok" status

Status Legend: Shows Warning (yellow), Error (red), Ok (blue), and Running (orange) 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 or errors
• AlertError Investigation: Pay attention to warningerror indicators and significant dropssegments in executionthe volumebars for potential systemissues issuesrequiring investigation

Performance Insights

• Activity Patterns: The chart shows typicalconsistent automation execution with values primarily between 160-161-196 per hour duringindicating normalstable operationssystem performance
• AnomalyError Detection: The dramaticsmall dropred toerror 42 executions at Jan 2 12:00 PMsegment indicates aminor potentialissues that should be investigated but don't significantly impact overall system issue requiring investigationperformance
• WarningStatus IndicatorsDistribution: ThePredominantly yellowsuccessful warningexecutions markerwith suggestsminimal error rates demonstrate healthy system alerts that need attentionoperation
• 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
• YellowRed WarningError Segments: SignalsSignal attention-requiredexecution conditionsfailures that mayrequire affect system performanceattention
• Status Legend: Clear visual indicators help identify different execution states (Warning, Error, Ok, Error)Running)
• Volume MonitoringConsistency: Significant drops inStable execution volume mayvolumes indicate reliable system problemsperformance
• 24/7 Monitoring: Continuous data collection enables proactive system management and issue detection