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Apache Kafka 컨슈머 랙 런북

Kafka AdminClient API와 Confluent Metrics API를 통해 노출된 JMX 메트릭을 사용하여 Kafka 컨슈머 그룹 랙을 진단합니다. 느린 컨슈머, 토픽 파티션 핫스팟, 브로커 리밸런스 폭풍을 식별하여 랙 증가의 원인을 파악합니다. fetch.min.bytes, max.poll.records, 파티션 수를 조정하는 단계별 런북을 제공합니다.

Apache Kafka 컨슈머 랙 런북란 무엇인가요?

이 스킬은 Apache Kafka 클러스터에서 컨슈머 그룹 랙(consumer lag) 문제를 진단하고 해결하기 위한 종합 가이드입니다. 주요 기능으로는 Kafka AdminClient API를 직접 사용하거나 Confluent Metrics API를 통해 JMX 메트릭을 수집하여 느린 컨슈머, 특정 파티션의 핫스팟, 또는 브로커 리밸런스로 인한 랙 급증을 정확히 식별합니다. 또한 문제 해결을 위해 fetch.min.bytes, max.poll.records와 같은 컨슈머 설정 조정과 파티션 개수 최적화를 위한 단계별 런북을 제공합니다. 이 스킬은 Java를 전제 조건으로 하며, Docker를 통해 Kafka를 실행하거나 기존 환경에서 사용할 수 있습니다. 공식 Apache Kafka 저장소에서 문서가 추출되었으며, 모든 사용자에게 Kafka 컨슈머 성능 문제 해결에 실용적인 접근 방식을 제공합니다.

지원 대상~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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문서

Apache Kafka 컨슈머 랙 런북은(는) 무엇을 하나요?

Kafka AdminClient API와 Confluent Metrics API를 통해 노출된 JMX 메트릭을 사용하여 Kafka 컨슈머 그룹 랙을 진단합니다. 느린 컨슈머, 토픽 파티션 핫스팟, 브로커 리밸런스 폭풍을 식별하여 랙 증가의 원인을 파악합니다. fetch.min.bytes, max.poll.records, 파티션 수를 조정하는 단계별 런북을 제공합니다.

전제 조건

Java

설치

사용자 환경에 맞는 업스트림 설치 또는 설정 경로를 사용하십시오:

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

업스트림의 요구 사항 및 주의 사항:

  • Docker 이미지 사용:
  • 자세한 내용은 docker/README.md를 참조하십시오.

기본 사용법 또는 시작 노트:

문서

출처

Individual skills in this repo

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