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, User capture, Auto-login, Login, and Authenticate
- New and Existing Users: Dual-line chart tracking the volume of new versus existing user activity over time
Summary Statistics Cards
-
Users: 803,
055463 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
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
reachingmaintaining approximately 1,400400-1,500 transactions duringpeaksustained periods - Transaction Types: Color-coded lines representing different authentication flows with Post-login trigger (dark blue), User capture (green), Auto-login (light blue), Login (gray), and Authenticate (red)
- Time Range: Extended period from Jan 2 8:00 pm through Jan 6 6:00 pm spanning multiple days
-
Volume Range: Approximately
0-200-1,600 transactions per time interval -
Activity Pattern: The chart
showsdisplays an initialhighdip from peak activityaround 1,400 transactions, followed by a significant declineto approximately400-600400 transactions during Jan 3early2:00-6:00morningam,hours.followedActivitybythensteadysteadilyrecovery.recoversAllthroughtransactionJantypes3,showreachingcoordinatedpeakgrowthvolumespatterns, maintaining high activity levels of approximately 1,400-1,500 transactionsbythrough Jan 4-5,6, with consistent performance across alltransactionauthenticationtypes showing coordinated growth patterns maintaining high activity levels before beginning to decline toward the end of Jan 6.methods.
User Activity Patterns
The "New and Existing Users" chart displays:
-
Existing Users (light blue line): Higher volume, ranging
200-150-900 users with pronounced daily cycles -
New Users (dark blue line): Lower volume, ranging
200-700150-650 users following similar trends -
Activity Trends: Both metrics
showdemonstrate cleardailyrecovery patternswithfromexistingJan 3 lows to sustained high activity. Existing usersreachingreach consistent peaksaroundof approximately 800-900 users duringhigh-activityactiveperiodsperiods,andwhiledropping to approximately 200new usersduringmaintainlow-activity periods. New users follow similar cyclical patterns, climbing to approximately 600-700 users during peak periods and declining topeaks around200600-650usersusers.duringBothlow-activitymetricstimes.showThestablepattern shows sustained high activityperformance through Jan 4-56beforewithbeginningminimaltovariance,declineindicatingtowardconsistenttheuserendengagementofandthesuccessfulmonitoringsystemperiod.performance.
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
dailysustainedcyclicalhigh-performancepatternsperiods indicatingregularsystemuser behavior with consistent daily peaks and valleysstability
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
dailythecyclicalcoordinatedpatternsperformance across all transaction types forunderstandingsystemuserhealthbehavior and capacity planningassessment - Pay attention to
coordinatedsustainedincreaseshighacrossactivityall transaction typesperiods whichmayindicate successful system performance and user engagement
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 daily cyclical patterns withsustained highactivityperformanceperiods,with minimal variance across Jan 4-6, indicating stable systemperformanceoperation and consistent user engagementpatternsacrossanallextendedauthenticationmonitoringmethodstimeframeand user categories