OpenSearch ISM & Cross-Cluster Replication

Production-grade guidance for designing index lifecycle policies, automating rollovers, routing data across hot–warm–cold tiers, and replicating indices across clusters — built for the engineers who keep search and logging platforms reliable.

What this site covers

OpenSearch Index State Management turns retention, performance, and cost requirements into a deterministic state machine. This resource explains how that machine works — from policy evaluation and node-role allocation to rollover triggers and Cross-Cluster Replication — and pairs each concept with copy-ready configuration and Python automation.

Everything here is oriented toward production: explicit routing attributes, idempotent policy attachment, safe threshold tuning, and graceful fallback when nodes fail. Use it as a reference while you build, or as a troubleshooting companion when transitions get stuck.

Browse the guides

ISM Policy Implementation & Python Automation

OpenSearch Index State Management (ISM) operates as a deterministic state machine governing index lifecycle transitions, storage tiering, and retention enforcement. While the...