Telemetry in Soom Connect
Learn about monitoring, analytics, and telemetry in Soom Connect
Telemetry in Soom Connect
Telemetry provides comprehensive monitoring, analytics, and observability for your Soom Connect deployment. This guide covers how to set up and use telemetry to monitor your integrations and workflows.
Telemetry Overview
What is Telemetry?
Telemetry in Soom Connect includes:
- Performance Metrics: Track system and integration performance
- Usage Analytics: Monitor usage patterns and trends
- Error Tracking: Track and analyze errors and failures
- Business Metrics: Monitor business-specific metrics and KPIs
Key Benefits
- Visibility: Gain visibility into system performance and usage
- Proactive Monitoring: Identify issues before they impact users
- Performance Optimization: Optimize performance based on data
- Business Intelligence: Make data-driven business decisions
Monitoring Types
System Monitoring
Monitor system health and performance:
- Resource Usage: Monitor CPU, memory, and disk usage
- Network Performance: Track network latency and throughput
- Database Performance: Monitor database performance and queries
- Service Health: Track health of all services and components
Integration Monitoring
Monitor integration performance and health:
- Connection Status: Monitor connection status to external services
- Data Flow: Track data flow and processing
- Error Rates: Monitor error rates and failure patterns
- Performance Metrics: Track integration performance metrics
Workflow Monitoring
Monitor workflow execution and performance:
- Execution Time: Track workflow execution times
- Success Rates: Monitor workflow success rates
- Error Analysis: Analyze workflow errors and failures
- Resource Usage: Monitor resource usage by workflows
Metrics and Analytics
Performance Metrics
Track key performance indicators:
- Response Times: Monitor API response times
- Throughput: Track data processing throughput
- Latency: Monitor system and integration latency
- Availability: Track system and service availability
Usage Analytics
Analyze usage patterns and trends:
- User Activity: Track user activity and engagement
- Feature Usage: Monitor feature usage and adoption
- Integration Usage: Track integration usage patterns
- Workflow Usage: Monitor workflow execution patterns
Business Metrics
Track business-specific metrics:
- Data Volume: Monitor data processing volumes
- Integration Success: Track integration success rates
- Cost Metrics: Monitor integration costs and resource usage
- ROI Metrics: Track return on investment for integrations
Alerting and Notifications
Alert Types
Set up different types of alerts:
- Performance Alerts: Alert on performance issues
- Error Alerts: Alert on errors and failures
- Capacity Alerts: Alert on capacity and resource issues
- Business Alerts: Alert on business metric thresholds
Notification Channels
Configure notification channels:
- Email Notifications: Send alerts via email
- Slack Integration: Send alerts to Slack channels
- Webhook Notifications: Send alerts via webhooks
- SMS Notifications: Send critical alerts via SMS
Alert Management
Manage alerts effectively:
- Alert Rules: Define alert rules and thresholds
- Alert Escalation: Set up alert escalation procedures
- Alert Suppression: Suppress alerts during maintenance
- Alert History: Maintain alert history and analysis
Dashboards and Visualization
System Dashboards
Monitor system health and performance:
- Real-time Dashboards: Real-time system monitoring
- Historical Dashboards: Historical performance analysis
- Custom Dashboards: Create custom monitoring dashboards
- Mobile Dashboards: Access dashboards on mobile devices
Integration Dashboards
Monitor integration performance:
- Integration Health: Monitor integration health and status
- Data Flow Visualization: Visualize data flow and processing
- Error Analysis: Analyze integration errors and failures
- Performance Trends: Track integration performance trends
Business Dashboards
Monitor business metrics and KPIs:
- Executive Dashboards: High-level business metrics
- Operational Dashboards: Operational metrics and KPIs
- Custom Reports: Create custom business reports
- Scheduled Reports: Schedule and automate report generation
Data Collection and Storage
Data Collection
Collect telemetry data:
- Automatic Collection: Automatically collect system metrics
- Custom Metrics: Collect custom business metrics
- Event Tracking: Track events and user actions
- Log Aggregation: Aggregate and analyze logs
Data Storage
Store telemetry data:
- Time Series Database: Store time series metrics data
- Log Storage: Store and index log data
- Data Retention: Configure data retention policies
- Data Compression: Compress data for efficient storage
Data Processing
Process telemetry data:
- Real-time Processing: Process data in real-time
- Batch Processing: Process data in batches
- Data Aggregation: Aggregate data for analysis
- Data Transformation: Transform data for reporting
Best Practices
Monitoring Strategy
Develop an effective monitoring strategy:
- Define KPIs: Define key performance indicators
- Set Baselines: Establish performance baselines
- Monitor Trends: Monitor trends and patterns
- Regular Review: Regularly review and update monitoring
Alert Management
Manage alerts effectively:
- Avoid Alert Fatigue: Avoid overwhelming users with alerts
- Prioritize Alerts: Prioritize alerts by severity and impact
- Test Alerts: Regularly test alert functionality
- Document Procedures: Document alert response procedures
Performance Optimization
Optimize based on telemetry data:
- Identify Bottlenecks: Identify performance bottlenecks
- Optimize Resources: Optimize resource allocation
- Scale Proactively: Scale resources proactively
- Continuous Improvement: Continuously improve based on data
Next Steps
- Configuration - Learn about advanced configuration
- Credentials - Manage authentication and credentials
- Create Flow - Build flows with monitoring
How is this guide?