This guide explains Elasticsearch Index Lifecycle Management (ILM), detailing its five phases, the actions available in each stage, the criteria for phase transitions, and step‑by‑step configuration through Kibana and API commands, helping engineers automate index handling and reduce manual maintenance.
This article walks through configuring Infini Gateway to capture and log Elasticsearch request traffic, setting up index templates and ILM policies, importing a Kibana dashboard, and visualizing key metrics such as request latency and success rates for real‑time monitoring and performance optimization.
This guide explains how to deploy an Elasticsearch cluster with hot, warm, and cold nodes, configure Index Lifecycle Management policies, adjust polling intervals, create indices with rollover aliases, add documents, and observe automatic phase transitions and deletions, all using Docker Compose.
Tencent’s Tianji Ge distributed tracing platform, which combines tracing, metrics and logging for billions of daily records, overcame severe cluster jitter and storage latency by applying tiered Elasticsearch index templates, replica reduction, Transport‑API buffering, pre‑created indices and ILM, cutting write latency from 20 s to 0.32 s, shrinking shards by 70 % and saving 30 % of storage.
Learn how to configure Kibana index patterns, set up Elasticsearch Index Lifecycle Management policies across hot, warm, cold, and delete phases, create index templates, and monitor lifecycle status to optimize performance and storage in your ELK stack.
