Efficient log management with Amazon OpenSearch Service data streams

This article explains how to implement Amazon OpenSearch Service data streams with Index State Management (ISM) to efficiently manage time series log data at scale.

• Data streams distribute incoming data across multiple backing indices to reduce single-index bottlenecks and query latency
• ISM policies automate index rollover, retention, and storage tiering to optimize costs and performance
• Ideal for append-only time series workloads like logs, metrics, traces, and IoT events with long-term retention needs
• Implementation includes creating ISM policies, index templates, and data streams with automatic lifecycle management
• Aged data automatically transitions to UltraWarm or Cold storage, significantly reducing storage costs
• Reduces operational overhead by automating index management and enabling efficient time-range queries

OpenSearch data streams with ISM provide scalable, cost-effective infrastructure for managing growing time series datasets with minimal operational complexity.