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Runbook de Retard de Consommateurs Apache Kafka

Diagnostique le retard des groupes de consommateurs Kafka via l'API AdminClient et les métriques JMX exposées par l'API Confluent Metrics. Identifie les consommateurs lents, les points chauds de partition et les tempêtes de rééquilibrage, et fournit un runbook pour ajuster fetch.min.bytes, max.poll.records et le nombre de partitions.

Qu'est-ce que Runbook de Retard de Consommateurs Apache Kafka ?

Ce skill est un runbook opérationnel pour diagnostiquer et résoudre le retard (consumer lag) des groupes de consommateurs Apache Kafka. Il utilise l'API AdminClient de Kafka ainsi que les métriques JMX collectées via l'API Confluent Metrics afin de détecter les consommateurs lents, les partitions à forte charge et les tempêtes de rééquilibrage des brokers qui contribuent à l'augmentation du retard. Le runbook guide l'utilisateur pas à pas dans le réglage de paramètres critiques comme fetch.min.bytes, max.poll.records et le nombre de partitions. Ce skill est conçu pour les environnements utilisant Apache Kafka, avec des prérequis incluant Java et une installation via Docker ou Gradle. Il est particulièrement utile pour les ingénieurs de données, les administrateurs de plateformes et les développeurs travaillant avec Kafka dans des architectures de streaming en temps réel.

Compatible avec~Claude Code~Codex CLI✓Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-kafka-consumer-lag-runbook
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Documentation

Que fait Runbook de Retard de Consommateurs Apache Kafka ?

Diagnostique le retard des groupes de consommateurs Kafka via l'API AdminClient et les métriques JMX exposées par l'API Confluent Metrics. Identifie les consommateurs lents, les points chauds de partition et les tempêtes de rééquilibrage des brokers qui contribuent à l'augmentation du retard. Fournit un runbook étape par étape pour ajuster fetch.min.bytes, max.poll.records et le nombre de partitions.

Prérequis

Java

Installation

Utilisez la méthode d'installation ou de configuration appropriée à votre environnement :

  • docker run -p 9092:9092 apache/kafka:latest

Exigences et notes issues de la source amont :

  • Utilisation de l'image Docker :
  • Voir docker/README.md pour des informations détaillées.

Notes de base pour la prise en main :

Documentation

Source

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