Netdata

개발자 도구

OpenClaw의 Neotask이 인프라에 목소리를 부여합니다 — Netdata 메트릭을 쿼리하고, 이상을 감지하며, 근본 원인을 분석하고, 알림을 자연어로 관리합니다.

할 수 있는 것

The Netdata integration gives Neotask 13 actions for real-time infrastructure intelligence through OpenClaw.

| 영역 | 액션 | 기능 설명 |

|------|---------|-------------|

| Infrastructure Discovery | List metrics, get metrics details, list nodes, get nodes details | Map your monitored infrastructure and understand available telemetry |

| Time-Series Queries | Query metrics | Retrieve historical and real-time metric data with full granularity |

| ML-Powered Analysis | Find correlated metrics, find anomalous metrics, find unstable metrics | Detect unusual patterns and identify related metrics for root cause analysis |

| Alert Management | List raised alerts, list running alerts, list alert transitions | Monitor current alert state and review recent alert history |

| Function Execution | List functions, execute function | Run live diagnostic functions directly against your monitored nodes |

모든 액션은 자율적으로 실행되거나 승인을 요청합니다 — 여러분이 결정합니다.

이렇게 물어보세요

  • "Are there any anomalous metrics across our production nodes right now?"
  • "What metrics are correlated with the CPU spike we saw on web-01 at 2am?"
  • "List all raised alerts in our infrastructure — group them by severity"
  • "Query the disk I/O metrics for our database server over the last 6 hours"
  • "Find all unstable metrics across our Kubernetes nodes"
  • "List all available diagnostic functions for our main application server"
  • "Execute the 'netstat' function on db-primary and show me the connection count"

    • 프로 팁

  • Schedule hourly anomaly checks: your agent scans all nodes for anomalous and unstable metrics and sends a digest if anything warrants attention
  • Use correlated metric discovery during incident response — your agent finds what else changed when your problem metric spiked
  • Combine Netdata with your alerting channels (Slack, email) in an app group so alert transitions trigger immediate notifications
  • Approval gates on function execution let you review which diagnostic commands run on production nodes before they execute
  • Multi-agent teams work well: one agent monitors, another investigates anomalies, a third manages alert routing

    • Works Well With