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Dashboard: Main

Screenshot - Dashboard: MainScreenshot - Dashboard: Main

Overview

The Zequenze Control Portal Dashboard provides a comprehensive real-time analytics interface for monitoring user authentication and system activity. This main dashboard displays key performance metrics through interactive charts and summary statistics, enabling administrators to track successful transactions, user activity patterns, and system usage across different time periods.

Key Features

Real-time Analytics Charts

  • Successful Transactions Per Type: Multi-line chart showing various authentication methods including Post-login trigger, Auto-login, User capture, Authenticate, Login, and Email validation
  • New and Existing Users: Dual-line chart tracking the volume of new versus existing user activity over time

Summary Statistics Cards

  • Users: 792,711793,090 total users with trend indicator
  • Pages: 421 total pages accessed
  • Access Points: 18,694 total access points
  • Locations: 3,637 unique locations

UI Elements

Navigation Sidebar

  • GATE section with Dashboard link highlighted
  • APPLICATIONS menu including:
    • Portals
    • Users
    • Hotspots
    • Advertising
    • User devices
    • Alfred
    • AAA services
    • Payments
    • SONDA
    • Files
    • Links
    • Organization
    • Settings
    • Tools
    • Protocols
    • User log

Chart Controls

  • Time Range Selector: "24 hours" dropdown for filtering data periods
  • View Options: Line chart and CSV export functionality positioned in the top-right corner of each chart
  • Auto-refresh: "Auto: off" toggle for real-time updates
  • Edit Mode: Available through the "Edit" button in the top-right corner

User Interactions

Chart Interaction

  • Hover over chart lines to view specific data points and timestamps
  • Toggle between different time ranges using the dropdown selectors
  • Export data to CSV format for external analysis using the CSV button in the chart header
  • Switch between line and other chart view formats

Navigation

  • Click on sidebar menu items to access different portal sections
  • Use the breadcrumb navigation (Home > Dashboard) to track current location
  • Access user account settings through the profile menu (ja_docs@zequenze.com)

Navigation

Access Path

  • Current Location: MAIN > Home > Dashboard
  • Portal Environment: GATE admin portal (dev)
  • User Context: Administrative access with Root organization privileges

Quick Actions

  • Language toggle (EN flag icon)
  • Full-screen mode toggle
  • Dark/light theme switcher
  • User profile and settings access

Data Displayed

Transaction Metrics

The "Successful Transactions Per Type" chart shows:

  • Peak Activity: Multiple transaction types reaching approximately 1,400 transactions during peak periods
  • Transaction Types: Color-coded lines representing different authentication flows with Auto-login (blue), Authenticate (orange), Post-login trigger (purple), Login (green), User capture (red), and Email validation (brown)
  • Time Range: Extended period from Jan 1 5:6:00 pm through Jan 2 3:4:00 pm
  • Volume Range: Approximately 0-1,600 transactions per time interval
  • Notable Pattern: Activity shows initialhigh levelstransaction volumes around 1,300-200-1,400 transactions,transactions maintains high levels throughduring Jan 1 eveningevening, hours,followed thenby declinesa gradual decline through overnight hours to minimum levels around 200-300400 transactions aroundduring Jan 2 5:early morning hours (4:00-6:00 am,am), followedthen bya dramatic recovery with activity risingsurging to new peak levels of approximatelyaround 1,300-1,400400+ transactions on Jan 2 afternoon before showing a sharp decline at the end of the monitoring period

User Activity Patterns

The "New and Existing Users" chart displays:

  • Existing Users (light blue line): Higher volume, ranging 0-800900 users with cyclical pattern
  • New Users (dark blue line): Lower volume, ranging 0-700 users following similar trends
  • Activity Trends: Both metrics show strong cyclical patterns with initialexisting activityusers maintaining levels around 700-750800 for existing users and 550-600 for new users, maintaining relatively high levels throughduring Jan 1 evening, thendeclining overnight decline to minimal levels around 100-200 users aroundduring Jan 2 5:00early am,morning hours, followed by a significant recovery with bothexisting metricsusers risingreaching tonew peaks around 850-900 users and new users reaching approximately 650-750700 users on Jan 2 afternoon before both showing sharp declines at the end of the period

Actions Available

Data Management

  • Export Data: Download chart data in CSV format using the CSV button in each chart's header
  • Refresh Controls: Toggle auto-refresh for real-time monitoring
  • Time Range Adjustment: Modify viewing period to 24 hours or other intervals

Administrative Functions

  • Edit Dashboard: Customize chart layouts and configurations
  • Access Sub-modules: Navigate to detailed sections (Users, Portals, etc.)
  • System Configuration: Access settings, tools, and protocols

Notes/Tips

Performance Monitoring

  • Monitor transaction peaks to identify high-usage periods and capacity planning needs
  • Track the ratio of new vs. existing users for growth analysis
  • Use CSV exports for detailed offline analysis and reporting
  • Observe cyclical patterns indicating regular user behavior with notable peaks and valleys

Best Practices

  • Enable auto-refresh during active monitoring sessions
  • Regularly check different time ranges to identify trends
  • Cross-reference summary statistics with chart data for validation
  • Monitor cyclical patterns for understanding user behavior and capacity planning
  • Pay attention to sharp peaks and drops which may indicate system events or user activity patterns

System Status

  • The dashboard shows data for a development environment (gate-dev.zequenze.com)
  • All metrics represent real-time or near-real-time data
  • Color-coded legends help distinguish between different transaction types and user categories
  • Current data shows healthy cyclical patterns with regular user activity, natural fluctuations, and distinct peak periods followed by sharp declines indicating possible end-of-monitoring-period effects