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: 794,028797,037 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 1,400600 transactions during peak periods
• Transaction Types: Color-coded lines representing different authentication flows with User capture (green), Auto-login (blue), Post-login trigger (blue), Auto-login (orange), User capture (green), Authenticate (red), Login (gray), and Email validation (brown)
• Time Range: Extended period from Jan 12 7:1:00 pmam through Jan 2 5:11:00 pm
• Volume Range: Approximately 0-1,600 transactions per time interval
• Notable Pattern: Activity shows relatively stable highlow transaction volumes around 1,200-1,400400-600 transactions fromduring Janearly 1morning evening through Jan 2 morning,hours, followed by asteady significantgrowth declinethroughout tothe minimumday levelsreaching peak volumes around 200-4001,400-1,600 transactions during mid-dayafternoon and evening hours, then a dramatic surge with all transaction types showing substantialcoordinated activity throughout late Jan 2, with peak volumes exceeding 1,400 transactionspatterns before showingexperiencing 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 0-200-900 users with cyclicalgrowth pattern
• New Users (dark blue line): Lower volume, ranging 0-800200-700 users following similar trends
• Activity Trends: Both metrics show existinglow users maintaining levelsactivity around 700-800 during Jan 1 evening, declining to minimal levels around 100-200 users during early morning hours (Jan 2 mid-day1:00 hours,am), followed by a steady recoverygrowth throughthroughout latethe Jan 2day with existing users reaching peaks around 800-900 users and new users fluctuatingclimbing betweento 200-800approximately users,600-700 users during peak periods, with both showing steepsharp declines at the end of the monitoring 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 cyclicaldaily growth patterns indicating regular user behavior with notableconsistent peaksincreases andthroughout valleysthe day

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 cyclicaldaily growth patterns for understanding user behavior and capacity planning
• Pay attention to sharpcoordinated peaksincreases andacross dropsall transaction types which may indicate successful system events or user activity patternsperformance

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 cyclicaldaily growth patterns with regularconsistent user activity,activity naturalincreases fluctuations,throughout the monitoring period, indicating positive system performance and distinctuser peak periods followed by sharp declines indicating possible end-of-monitoring-period effectsengagement