Implementing fallback routing for ISM phase transitions
This guide walks through wiring a deterministic overflow tier into an OpenSearch Index State Management (ISM) policy so...
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.
Start here
New to OpenSearch ISM? These hands-on guides are the fastest way in — each one pairs the concept with copy-ready configuration and Python you can run against a real cluster.
How to configure OpenSearch ISM hot-warm-cold architecture
This guide walks through the exact node settings, index template, policy JSON, and Python attachment workflow needed to...
Best practices for OpenSearch index lifecycle management
This guide turns an ad-hoc, cron-driven index rotation into a deterministic Index State Management (ISM) pipeline that...
Mapping data tiers to OpenSearch node roles
This guide gives the exact strings that bind each data tier — hot, warm, cold, frozen — to an OpenSearch node role and...
Securing ISM policies with role-based access control
Lock down who can create, attach, and trigger OpenSearch Index State Management policies so that an unscoped credential...
Handling async ISM policy execution failures
This guide isolates and recovers indices whose OpenSearch Index State Management (ISM) phase actions failed silently on...
Implementing retry logic for stuck ISM transitions
This guide builds bounded, backoff-driven retry logic around the OpenSearch Index State Management (ISM) retry API so a...
Python Automation for Dynamic ISM Policy Updates
This guide shows how to read a live OpenSearch Index State Management (ISM) policy, mutate it in Python, and write it...
Writing Python scripts for automated ISM rollover triggers
Native OpenSearch Index State Management (ISM) evaluates rollover on a background sweep that defaults to five minutes,...
Configuring index size and age thresholds for rollover
This guide walks through setting minsize and minindexage rollover conditions on an OpenSearch Index State Management...
Browse the guides
OpenSearch ISM Architecture & Fundamentals
OpenSearch Index State Management (ISM) is a policy-driven state machine that automates index rollover, tiered shard allocation, segment optimization, snapshotting, and deletion...
ISM Policy Implementation & Python Automation
OpenSearch Index State Management (ISM) turns index lifecycle — rollover, tiered allocation, force-merge, snapshot, and deletion — into a declarative state machine that an...