Platform

Analytics Dashboard

Comprehensive guide to Erebus platform analytics, metrics, and monitoring capabilities for real-time applications.

Analytics Dashboard

The Erebus analytics dashboard provides comprehensive insights into your real-time application's performance, usage patterns, and system health. Monitor connections, track message volume, and optimize your application based on detailed metrics and trends.

Dashboard Overview

Analytics Philosophy

The Erebus analytics dashboard is designed around key principles:

  • Real-Time Insights: Live metrics update as your application operates
  • Historical Context: Track trends and patterns over time
  • Actionable Data: Metrics that directly inform optimization decisions
  • Performance Focus: Understanding system health and user experience

[Screenshot placeholder: Main analytics dashboard showing metrics cards and charts]

Key Metrics Categories

Connection Metrics

  • Active Connections: Real-time count of connected users
  • Connection Rate: New connections per time period
  • Connection Duration: Average session length and patterns
  • Geographic Distribution: Where your users connect from globally

Message Analytics

  • Message Volume: Total messages published and received
  • Message Rate: Messages per second/minute/hour
  • Channel Activity: Most active channels and usage patterns
  • Message Size: Average payload sizes and data transfer

Subscription Tracking

  • Active Subscriptions: Current subscription count across all channels
  • Subscription Patterns: How users subscribe to different channels
  • Subscription Duration: How long users stay subscribed
  • Channel Popularity: Most subscribed channels and their usage

Main Dashboard Interface

Summary Cards

[Screenshot placeholder: Four main metric cards showing totals and trends]

The dashboard header provides immediate insights through key metric cards:

Total Connections

  • Current Period Total: Complete connection count for selected time range
  • Peak Connections: Maximum concurrent connections reached
  • Growth Indicator: Percentage change from previous period
  • Visual Trend: Sparkline showing connection trends

Total Subscriptions

  • Subscription Volume: Total subscriptions created in the period
  • Peak Subscriptions: Maximum concurrent subscriptions
  • Average per User: Subscriptions per connected user
  • Channel Distribution: How subscriptions spread across channels

Total Messages

  • Message Count: Complete message volume for the period
  • Peak Throughput: Maximum messages per time unit
  • Average Size: Mean message payload size
  • Success Rate: Percentage of successful message deliveries

Performance Overview

  • Average Response Time: Mean connection and message latency
  • Error Rate: Percentage of failed operations
  • Uptime: System availability percentage
  • Health Score: Overall system performance indicator

Time Range Selection

[Screenshot placeholder: Time range dropdown with preset options]

Flexible time range controls allow detailed analysis:

Preset Options

  • Last 24 Hours: Detailed hourly breakdown for recent activity
  • Last 7 Days: Daily aggregation for weekly patterns
  • Last 30 Days: Daily aggregation for monthly trends
  • Last 90 Days: Daily aggregation for quarterly analysis

Granularity Selection

  • Hourly Data: Available for last 24 hours, ideal for debugging and optimization
  • Daily Data: Available for longer periods, perfect for trend analysis
  • Automatic Selection: System chooses optimal granularity based on time range

Custom Ranges

  • Start/End Dates: Select specific date ranges for targeted analysis
  • Event Correlation: Align analytics with deployment dates or incidents
  • Comparative Analysis: Compare different periods side by side

Interactive Charts

Connection Timeline

[Screenshot placeholder: Line chart showing connections over time with multiple metrics]

The main timeline chart displays multiple metrics simultaneously:

Primary Metrics

  • Connection Count: Blue line showing connection volume over time
  • Subscription Count: Green line showing subscription activity
  • Message Volume: Orange line showing message throughput

Chart Interactions

  • Zoom and Pan: Focus on specific time periods for detailed analysis
  • Metric Toggle: Show/hide specific metrics to focus on relevant data
  • Hover Details: Point-in-time metric values and context
  • Peak Identification: Automatic highlighting of usage peaks

Trend Analysis

  • Growth Patterns: Identify consistent growth or decline trends
  • Seasonality: Recognize daily, weekly, or monthly usage patterns
  • Anomaly Detection: Spot unusual spikes or drops in activity
  • Correlation Insights: See how different metrics relate to each other

Metric Breakdown

Connection Analysis

  • Connection Success Rate: Percentage of successful connection attempts
  • Average Session Duration: How long users stay connected
  • Connection Geographic Distribution: Where users connect from globally
  • Connection Method: WebSocket, Server-Sent Events, or polling breakdown

Message Analysis

  • Message Types: Breakdown of different message categories
  • Channel Performance: Which channels see the most activity
  • Message Size Distribution: Understanding payload characteristics
  • Delivery Success Rate: Percentage of successful message deliveries

Advanced Analytics

Performance Monitoring

[Screenshot placeholder: Performance metrics dashboard with latency charts]

Latency Metrics

  • Connection Establishment Time: How quickly users can connect
  • Message Delivery Time: End-to-end message transmission latency
  • Geographic Latency: Performance differences by user location
  • Peak vs Average: Performance consistency during high usage

Error Tracking

  • Connection Failures: Failed connection attempts and reasons
  • Message Delivery Failures: Messages that couldn't be delivered
  • Timeout Events: Operations that exceeded time limits
  • Error Rate Trends: Whether error rates are improving or worsening

Resource Utilization

  • Bandwidth Usage: Data transfer volumes and efficiency
  • Connection Concurrency: Simultaneous connection handling
  • Channel Scalability: How performance scales with channel count
  • Peak Capacity: Understanding maximum system capabilities

Usage Optimization

Efficiency Insights

  • Channel Utilization: Which channels are underused or oversaturated
  • Connection Patterns: Optimal connection timing and duration
  • Message Batching: Opportunities for message batching optimization
  • Resource Allocation: How to distribute load more effectively

Cost Optimization

  • Usage Efficiency: Getting maximum value from your plan
  • Peak Shaving: Strategies to reduce peak usage costs
  • Channel Consolidation: Opportunities to merge similar channels
  • Connection Optimization: Reducing unnecessary connection overhead

Time-Based Analysis

Daily Patterns

[Screenshot placeholder: 24-hour usage pattern chart]

Business Hours Analysis

  • Peak Hours: When your users are most active
  • Off-Hours Usage: Background activity and automated systems
  • Time Zone Distribution: Global usage patterns across time zones
  • Weekend vs Weekday: Different usage patterns by day type

Hourly Breakdowns

  • Traffic Patterns: Understanding when usage spikes occur
  • Performance by Hour: How system performance varies by time
  • Error Clustering: Whether errors correlate with specific times
  • Maintenance Windows: Optimal times for system updates

Growth Tracking

  • Week-over-Week Growth: Consistent growth patterns and rate
  • Monthly Active Users: Understanding user engagement trends
  • Seasonal Variations: How usage changes with seasons or events
  • Long-Term Trajectory: Overall application growth direction

Comparative Analysis

  • Period-over-Period: Compare current period to previous periods
  • Year-over-Year: Long-term growth and seasonal trend analysis
  • Event Correlation: How external events impact usage patterns
  • Forecast Modeling: Predicting future usage based on trends

Real-Time Monitoring

Live Metrics

[Screenshot placeholder: Real-time metrics updating with live counters]

Current Activity

  • Active Connections: Live count of connected users
  • Messages per Second: Real-time message throughput
  • Active Channels: Currently active channel count
  • Response Times: Current system performance metrics

Real-Time Alerts

  • Usage Spikes: Automatic detection of unusual activity increases
  • Performance Degradation: Alerts when response times increase
  • Error Clusters: Notification when error rates spike
  • Capacity Warnings: Alerts when approaching usage limits

Operational Dashboard

System Health

  • Overall Status: Green/yellow/red system health indicators
  • Service Availability: Uptime percentage and reliability metrics
  • Geographic Performance: Regional performance variations
  • Capacity Utilization: How close to limits your usage is

Incident Response

  • Error Investigation: Quick access to error details and patterns
  • Performance Debugging: Tools for diagnosing performance issues
  • Usage Anomaly Investigation: Understanding unusual usage patterns
  • Capacity Planning: Data for scaling decisions

Data Export and Integration

Export Capabilities

Data Formats

  • CSV Export: Download metrics data for external analysis
  • JSON Export: Programmatic access to analytics data
  • Image Export: Save charts and graphs for reporting
  • PDF Reports: Generate formatted analytics reports

Integration Options

  • API Access: Programmatic access to analytics data (planned)
  • Webhook Notifications: Real-time alerts to external systems
  • Third-Party Integration: Connect with monitoring and alerting systems
  • Dashboard Embedding: Include metrics in external dashboards

Reporting and Analysis

Custom Reports

  • Executive Summaries: High-level usage and performance summaries
  • Technical Deep-Dives: Detailed performance and optimization reports
  • Trend Analysis: Long-term pattern and growth analysis
  • Incident Reports: Post-mortem analysis with relevant metrics

Business Intelligence

  • Usage Correlation: How application features relate to real-time usage
  • User Behavior: Understanding how users interact with real-time features
  • Revenue Impact: How real-time features impact business metrics
  • Growth Planning: Data-driven expansion and optimization planning

Troubleshooting and Optimization

Performance Investigation

Identifying Issues

  • Latency Spikes: When and why response times increase
  • Connection Failures: Patterns in connection establishment problems
  • Message Delivery Issues: Understanding message delivery failures
  • Capacity Bottlenecks: When and where system limits are reached

Root Cause Analysis

  • Timeline Correlation: Relating performance issues to specific events
  • Geographic Analysis: Whether issues are location-specific
  • Load Correlation: How performance relates to usage volume
  • Error Pattern Analysis: Understanding systematic vs random errors

Optimization Strategies

Performance Optimization

  • Connection Pooling: Optimizing connection establishment and reuse
  • Message Batching: Reducing overhead through message grouping
  • Channel Organization: Structuring channels for optimal performance
  • Geographic Distribution: Leveraging global edge deployment

Capacity Planning

  • Growth Projection: Predicting future capacity needs
  • Peak Planning: Preparing for usage spikes and high-traffic events
  • Scaling Strategies: When and how to scale your usage plan
  • Cost Optimization: Balancing performance with cost efficiency

Best Practices

Monitoring Strategy

Alert Configuration

  • Performance Thresholds: Set alerts for degraded performance
  • Usage Anomalies: Monitor for unusual usage patterns
  • Error Rate Spikes: Alert on increased error rates
  • Capacity Warnings: Notifications before reaching limits

Regular Review Process

Daily Monitoring

  • Quick Health Check: Overall system status and key metrics
  • Error Review: Investigate any error spikes or patterns
  • Performance Check: Verify response times are within acceptable ranges
  • Usage Validation: Confirm usage patterns match expectations

Weekly Analysis

  • Trend Review: Week-over-week growth and pattern analysis
  • Performance Trends: Long-term performance improvement or degradation
  • Capacity Planning: Review usage growth for scaling decisions
  • Optimization Opportunities: Identify areas for improvement

Monthly Deep Dive

  • Comprehensive Performance Review: Detailed analysis of all metrics
  • Capacity Planning: Long-term scaling and optimization planning
  • ROI Analysis: Understanding the value of real-time features
  • Strategic Planning: Using analytics to guide product decisions

Getting Help

Documentation Resources

Analytics Support

  • Email Support: hey@v0id.me for analytics questions and optimization help
  • Performance Consulting: Guidance on interpreting metrics and optimization strategies
  • Integration Support: Help with integrating analytics into your monitoring systems

Data-Driven Optimization: Regular analysis of your analytics dashboard enables continuous improvement of your real-time application's performance, user experience, and cost efficiency.

Quickstart Example

Guiding you through the process of using Erebus.

API Key Management

Advanced guide to managing API keys in Erebus platform, including key states, security practices, and lifecycle management.