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Monitoring & Observability

Monitoring Architecture​

Key Metrics​

Business Metrics​

System Metrics​

metrics:
  system:
    - name: cpu_usage
      type: gauge
      threshold:
        warning: 70
        critical: 85

    - name: memory_usage
      type: gauge
      threshold:
        warning: 75
        critical: 90

    - name: disk_usage
      type: gauge
      threshold:
        warning: 80
        critical: 90

  application:
    - name: request_latency
      type: histogram
      threshold:
        warning: 500ms
        critical: 1s

    - name: error_rate
      type: counter
      threshold:
        warning: 1%
        critical: 5%

Dashboard Configuration​

Main Dashboard​

Grafana Dashboard JSON​

{
  "dashboard": {
    "id": null,
    "title": "Oan Finance Overview",
    "tags": ["oan", "production"],
    "timezone": "browser",
    "panels": [
      {
        "title": "System Health",
        "type": "gauge",
        "datasource": "Prometheus",
        "targets": [
          {
            "expr": "system_health_score",
            "refId": "A"
          }
        ]
      },
      {
        "title": "API Response Time",
        "type": "graph",
        "datasource": "Prometheus",
        "targets": [
          {
            "expr": "http_request_duration_seconds",
            "refId": "B"
          }
        ]
      }
    ]
  }
}

Alert Configuration​

Alert Rules​

groups:
  - name: system_alerts
    rules:
      - alert: HighCPUUsage
        expr: cpu_usage > 80
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: High CPU usage detected
          
      - alert: HighMemoryUsage
        expr: memory_usage > 85
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: High memory usage detected

  - name: application_alerts
    rules:
      - alert: HighErrorRate
        expr: error_rate > 0.05
        for: 2m
        labels:
          severity: critical
        annotations:
          summary: High error rate detected

Log Management​

Log Configuration​

logging:
  level: info
  format: json
  retention:
    hot: 7d
    warm: 30d
    cold: 90d

  indices:
    - name: application
      pattern: oan-app-logs-*
      lifecycle:
        hot_duration: 7d
        warm_duration: 30d
        delete_after: 90d

    - name: audit
      pattern: oan-audit-logs-*
      lifecycle:
        hot_duration: 30d
        warm_duration: 60d
        delete_after: 365d

Trace Configuration​

Jaeger Configuration​

tracing:
  service_name: oan-finance
  sampler:
    type: probabilistic
    param: 0.1
  reporter:
    queue_size: 100
    buffer_flush_interval: 1s
  tags:
    environment: production

Health Checks​

Endpoint Configuration​

health_checks:
  endpoints:
    - name: api
      url: /health
      interval: 30s
      timeout: 5s
      success_threshold: 1
      failure_threshold: 3

    - name: database
      url: /health/db
      interval: 1m
      timeout: 10s
      success_threshold: 1
      failure_threshold: 2

Performance Monitoring​

Best Practices​

Monitoring​

  1. Define clear SLOs/SLIs
  2. Implement comprehensive monitoring
  3. Set up proper alerting
  4. Regular review of metrics

Logging​

  1. Structured logging format
  2. Proper log levels
  3. Log rotation
  4. Log analysis

Tracing​

  1. Proper sampling rates
  2. Context propagation
  3. Service naming conventions
  4. Trace correlation

Alerting​

  1. Alert severity levels
  2. On-call rotations
  3. Alert routing
  4. Incident response