Monitoring Mechanisms
Comprehensive monitoring stack, alerting systems, and observability mechanisms
Monitoring Mechanisms
Monitoring Stack Overview
Core Architecture
Applications (OTEL SDKs) → OTEL Agent → Victoria Metrics → Grafana → Slack Alerts
Key Components
- OpenTelemetry SDKs: Embedded in applications for telemetry collection
- OTEL Agent: Daemon on each node collecting and forwarding metrics
- Victoria Metrics: Time-series database for storing metrics and performance data
- Grafana: Dashboards, visualization, and alerting platform
- Access URL: http://graf.wealthy.systems/
- Uptime Kuma: Service availability and uptime monitoring
- Apache Airflow: Data pipeline orchestration and workflow management
- Access URL: http://airflow.wealthy.systems/
Application Monitoring
Performance Metrics
- Response Times: API endpoint latency and processing times
- Throughput: Request rates and transaction volumes
- Error Rates: Application errors and failure percentages
- Custom KPIs: Business-specific metrics and operational indicators
Error Tracking
- Application exceptions and stack traces
- Failed transaction monitoring
- Service dependency failures
Infrastructure Monitoring
Cloud Resources (GCP/AWS)
- CPU Usage: Server and container resource utilization
- Memory Consumption: RAM usage and memory leaks detection
- Network Performance: Bandwidth usage and connection metrics
- Disk Usage: Storage capacity and I/O performance
Kubernetes Cluster Monitoring
- Pod health and resource allocation
- Node performance and availability
- Container orchestration metrics
Database Monitoring
Cloud SQL Performance
- Google Cloud Metrics: Native GCP monitoring for Cloud SQL instances
- Query Performance: Slow query analysis and optimization insights
- Connection Monitoring: Database connections and resource utilization
- Backup Status: Database backup success and recovery metrics
Service Availability Monitoring
Uptime Kuma
- Service Health Checks: HTTP/HTTPS endpoint monitoring
- API Availability: Critical service endpoint status tracking
- Response Time Monitoring: Service response time thresholds
- Downtime Detection: Immediate alerts for service unavailability
Alerting & Notifications
Alert Configuration
- Grafana Alerts: Threshold-based alerting on key metrics
- Slack Integration: All alerts delivered to engineering Slack channels
- Telegram Alerts: System alerts delivered to Telegram channel
- Severity Levels: Critical, High, Medium, Low alert classifications
- Alert Routing: Different alert channels based on service and severity
Monitored Thresholds
- CPU usage > 80%
- Memory usage > 85%
- Disk usage > 90%
- API response time > 5 seconds
- Error rate > 5%
- Service availability < 99%
Log Management
Centralized Logging
- Application Logs: Service logs aggregated and stored
- Access Logs: API gateway and service access patterns
- Error Logs: Application errors and system failures
- Audit Logs: Security events and user activity tracking
Log Retention
- Retention Policies: Configurable based on compliance requirements
- Log Analysis: Searchable logs for troubleshooting and investigation
Security Monitoring
Authentication & Access
- Failed Login Attempts: Monitoring authentication failures
- Suspicious Activity: Anomaly detection for unusual access patterns
- API Security: Monitoring unauthorized API access attempts
- VPN Access: Pritunl VPN connection logs and access auditing
Compliance Monitoring
- Data access patterns and privacy compliance
- Regulatory requirement adherence tracking
- Security policy violation detection
Integration with Incident Management
Alert Response Flow
- Automated Detection: Monitoring systems detect threshold breaches
- Slack Notifications: Immediate alerts to engineering teams
- Incident Creation: Critical alerts trigger incident response procedures
- Escalation: Follows incident management escalation procedures
Monitoring Tools Integration
- Grafana: Primary alerting and dashboard platform
- Uptime Kuma: Service availability alerts
- Slack: Central notification hub for all monitoring alerts
- Plane: System improvement tasks based on monitoring insights