ELK Stack Tuning: Elasticsearch Index Lifecycle and Logstash Pipelines
Introduction The ELK stack (Elasticsearch, Logstash, Kibana) is powerful for log aggregation and analysis, but requires proper tuning for production workloads. This guide covers Elasticsearch index lifecycle management, Logstash pipeline optimization, and performance best practices.
Elasticsearch Index Lifecycle Management (ILM) Understanding ILM ILM automates index management through lifecycle phases:
Phases:
Hot - Actively writing and querying Warm - No longer writing, still querying Cold - Rarely queried, compressed Frozen - Very rarely queried, minimal resources Delete - Removed from cluster Basic ILM Policy Create policy:
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