Utilizing the platform's ELK integration capabilities can be achieved in three stages:
- pretreatment stage: Run
node scripts/init-elk-templates.jsInitialize log field templates and standardize log formats. - analysis phase: Use keyword filtering (e.g. "error"), time range filtering and log correlation analysis in the web interface.
- AI enhancementEnter "Analyze high-frequency errors in the last 2 hours" in natural language, and the AI assistant automatically clusters the logs and generates a root cause report.
For efficiency, it is recommended that the.envcentralized configurationELASTICSEARCH_HOSTWhen using SSD storage nodes withdocker-composeExtend ELK container resources individually.
This answer comes from the articleWuhr-AI-ops: Intelligent Operations Management PlatformThe
May not be reproduced without permission:AI productivity tools " How to optimize the efficiency of syslog analysis to locate faults quickly?
