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Observability Integrations

Beak Observability provides the monitoring backbone for the entire platform. Alerts, metrics, traces, and logs flow to other products to enable automated response, contextual ticketing, and data-driven operations.

Observability to Beak Desk​

Alert-to-Ticket Routing​

Observability alerts automatically create tickets in Beak Desk:

Alert SeverityTicket PriorityRouting
CriticalP1On-call team + escalation
WarningP2Assigned team queue
InfoP3General triage queue

Ticket Enrichment​

Tickets created from alerts include:

  • Alert details — Metric name, threshold, current value
  • Affected asset — Linked asset from ITAM with full context
  • Related alerts — ML-grouped correlated alerts
  • Root cause suggestion — AI-generated root cause analysis
  • Runbook link — Auto-linked remediation steps if available

Deduplication​

When multiple alerts fire for the same root cause, Observability uses ML alert grouping to create a single ticket with all correlated alerts attached, reducing ticket noise by up to 80%.

Observability to AI Studio & Agents​

Agent Triggers​

Observability events can trigger AI agents for automated response:

  • Auto-remediation agents — Restart services, scale resources, clear caches
  • Investigation agents — Collect diagnostic data, run health checks, trace issues
  • Notification agents — Send context-rich alerts via Teams, Slack, or PagerDuty
  • Escalation agents — Automatically escalate unresolved alerts based on SLA timers

AI Observability​

All AI agent operations are traced by Observability:

  • End-to-end agent execution traces
  • LLM call latency and token usage
  • Agent success/failure rates
  • Evaluation scores over time

Observability to Beak Security​

Security-Relevant Metrics​

Observability shares infrastructure metrics relevant to security:

  • Unusual network traffic patterns flagged as potential threats
  • System resource anomalies that may indicate compromise
  • Log analysis detecting suspicious access patterns
  • Application error spikes that may indicate exploitation attempts

Vulnerability Scan Monitoring​

Observability monitors the health of security scanning operations:

  • Scan completion rates and durations
  • Scanner agent health and connectivity
  • Patch deployment success rates

Observability to Beak Governance​

Cost Monitoring​

Observability metrics feed into Governance cost analysis:

  • Resource utilization data for right-sizing recommendations
  • Cloud spend correlation with infrastructure metrics
  • AI model usage and token consumption tracking

SLA Tracking​

Observability data powers SLA compliance reporting in Governance:

  • Uptime and availability metrics
  • Response time and latency tracking
  • Incident frequency and MTTR

Observability to BEAK ITAM​

Asset Health Monitoring​

Observability enriches ITAM asset records with:

  • Real-time health status (healthy, degraded, down)
  • Performance metrics (CPU, memory, disk, network)
  • Last-seen timestamp for connectivity tracking
  • Alert history per asset

Configuration​

Integration Settings​

  1. Navigate to Beak Observability > Settings > Integrations
  2. Configure:
    • Beak Desk — Alert-to-ticket rules, severity mapping, deduplication settings
    • AI Studio — Agent trigger conditions, escalation rules
    • Beak Security — Security metric sharing, scan monitoring
    • Beak Governance — Cost metric feeds, SLA tracking
    • BEAK ITAM — Asset health sync frequency

Custom Webhooks​

Configure custom webhook destinations for alerts:

  1. Navigate to Beak Observability > Settings > Webhooks
  2. Add endpoint URL, authentication, and payload template
  3. Assign alert rules that trigger the webhook