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AWS CloudWatch Anomalieerkennung

Nutzt das AWS CloudWatch SDK (boto3), um Anomalieerkennungsbänder auf Metriken über die PutAnomalyDetector-API zu konfigurieren. Integriert SNS für Benachrichtigungen und CloudWatch Synthetics für canary-basiertes Uptime-Monitoring.

Was ist AWS CloudWatch Anomalieerkennung?

Die AWS CloudWatch Anomalieerkennung ist ein Skill, der es ermöglicht, CloudWatch-Metriken automatisch auf ungewöhnliches Verhalten zu überwachen. Er verwendet die `PutAnomalyDetector`-API des boto3-SDKs, um Anomalieerkennungsbänder (Bereiche des erwarteten Verhaltens) für Metriken zu erstellen. Der Skill integriert sich nahtlos in Amazon SNS, um Benachrichtigungen zu senden, wenn Metriken außerhalb der erwarteten Bänder liegen, und in CloudWatch Synthetics für synthetische Canary-Tests zur Uptime-Überwachung. Für Entwickler von KI-Agenten bietet dieser Skill eine zuverlässige Möglichkeit, proaktiv auf unerwartete Leistungseinbußen oder Ausfälle in AWS-Umgebungen zu reagieren, ohne manuelle Schwellenwerte konfigurieren zu müssen. Er unterstützt die Plattformen AWS CloudWatch, boto3, SNS und Synthetics und ist ideal für DevOps- und SRE-Workflows, die eine automatisierte Anomalieerkennung erfordern. Der Skill basiert auf der offiziellen AWS SDK-Dokumentation und kann einfach über den Agent Skill Exchange installiert werden, wobei Node.js oder Python als Laufzeitumgebung dienen.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudwatch-anomaly-detector
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Dokumentation

Was macht AWS CloudWatch Anomalieerkennung?

Nutzt das AWS CloudWatch SDK (boto3), um Anomalieerkennungsbänder auf Metriken über die PutAnomalyDetector-API zu konfigurieren. Integriert SNS für Benachrichtigungen und CloudWatch Synthetics für canary-basiertes Uptime-Monitoring.

Installation

Verwenden Sie die für Ihre Umgebung passende Installations- oder Einrichtungsmethode:

  • Lassen Sie uns ein Projekt einrichten, das vom DynamoDB SDK abhängt und einen einfachen Service-Aufruf durchführt. Die folgenden Schritte verwenden yarn als Beispiel. Diese Schritte setzen voraus, dass Sie Node.js und yarn bereits installiert haben.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Anforderungen und Hinweise von upstream:

Grundlegende Nutzung oder erste Schritte:

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add executable smoke tests for shell scripts and CLIs before ref

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Add graph-backed memory and context retrieval to agent workflows

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