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Analyseur de logs AWS CloudWatch

Analyse les logs AWS CloudWatch via l'API CloudWatch Logs et la syntaxe de requête Logs Insights. Identifie les patterns d'erreur, calcule les taux d'erreur et génère des filtres métriques à partir des données de logs.

Qu'est-ce que Analyseur de logs AWS CloudWatch ?

Cette compétence permet d'analyser les logs AWS CloudWatch en utilisant l'API CloudWatch Logs et le langage de requête Logs Insights. Elle est particulièrement utile pour les développeurs et les ingénieurs DevOps qui souhaitent identifier rapidement des patterns d'erreur dans leurs logs, calculer des taux d'erreur, et générer des filtres métriques. La compétence s'appuie sur le SDK AWS pour JavaScript v3, ce qui la rend compatible avec Node.js, les navigateurs et React Native. Elle extrait les données de logs à l'aide de requêtes Logs Insights, puis traite les résultats pour détecter les anomalies et les tendances. L'installation se fait via npm ou yarn après avoir cloné le dépôt AWS SDK. Cette approche permet une intégration fluide dans les pipelines CI/CD, les environnements de développement locaux ou les applications serverless. Grâce à des filtres métriques personnalisés, les utilisateurs peuvent surveiller en continu les erreurs critiques, réduisant ainsi le temps de résolution des incidents et améliorant la fiabilité du système.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudwatch-log-analyzer
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Documentation

Que fait Analyseur de logs AWS CloudWatch ?

Analyse les logs AWS CloudWatch via l'API CloudWatch Logs et la syntaxe de requête Logs Insights. Identifie les patterns d'erreur, calcule les taux d'erreur et génère des filtres métriques à partir des données de logs.

Installation

Utilisez le chemin d'installation amont ou de configuration qui correspond à votre environnement :

  • Parcourons la mise en place d'un projet qui dépend de DynamoDB via le SDK et qui effectue un appel de service simple. Les étapes suivantes utilisent yarn comme exemple. Ces étapes supposent que Node.js et yarn sont déjà installés.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Exigences et mises en garde de la source amont :

Notes de base sur l'utilisation ou la mise en route :

Source

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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Add persistent project memory and hook-driven synthesis with Cla

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