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: 792,711 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
- 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
- Switch between line and other chart view formats
Navigation
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 (green), Post-login trigger (gray), Login (brown), User capture (red), and Email validation (orange)
- Time Range: Extended period from Jan 1 5:00 pm through Jan 2 3:00 pm
- Volume Range: Approximately 0-1,400 transactions per time interval
- Notable Pattern: Activity shows initial levels around 1,200-1,300 transactions, maintains high levels through Jan 1 evening hours, then declines overnight to minimum levels around 200-300 transactions around Jan 2 5:00 am, followed by recovery with activity rising to peak levels of approximately 1,300-1,400 transactions on Jan 2 afternoon
User Activity Patterns
The "New and Existing Users" chart displays:
- Existing Users (light blue line): Higher volume, ranging 0-800 users with cyclical pattern
- New Users (dark blue line): Lower volume, ranging 0-700 users following similar trends
- Activity Trends: Both metrics show cyclical patterns with initial activity around 650-700 for existing users and 550-600 for new users, maintaining relatively high levels through Jan 1 evening, then overnight decline to minimal levels around 100-200 users around Jan 2 5:00 am, followed by recovery with both metrics rising to approximately 650-750 users on Jan 2 afternoon
Actions Available
Data Management
- Export Data: Download chart data in CSV format
- 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