Analytics and Search

Building a Log Analytics Platform with Amazon OpenSearch Service - Index Design and Dashboard Construction

Build a log analytics platform and optimize costs with index lifecycle management. Learn about OpenSearch Dashboards and Serverless mode.

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Overview of OpenSearch Service and Serverless

OpenSearch Service is a managed service for an Elasticsearch-compatible search and analytics engine, providing millisecond search responses against petabyte-scale data. It is widely used for log analytics, full-text search, application monitoring, and security analytics. With provisioned domains, you configure a cluster by specifying instance types and node counts, but OpenSearch Serverless eliminates cluster management entirely. With Serverless, you simply create a collection (a group of indexes) and capacity auto-scales. It is particularly well-suited for workloads like log analytics where ingestion volume fluctuates.

Log Collection and Index Design

The standard pattern for log collection is via Kinesis Data Firehose, which supports batch writes of up to 1,000 records per second. CloudWatch Logs subscription filters send logs to Firehose, which then batch-writes them to OpenSearch. Indexes are created daily (logs-2026-04-03), and limiting search scope by date maintains query performance. Mappings (schemas) are predefined with index templates, explicitly specifying field types (keyword, text, date, ip). The text type is used for full-text search, while the keyword type is used for exact matches and aggregations. For logs with variable structures, dynamic mapping can be used, but be cautious of field count explosion (mapping explosion).

Lifecycle Management and Cost Optimization

ISM policies automate index lifecycle management. A typical design keeps indexes on hot nodes (fast SSDs) for the first 7 days, transitions to UltraWarm (low-cost S3-based storage) from 7-30 days, moves to Cold Storage from 30-90 days, and deletes after 90 days. UltraWarm can reduce costs by up to 90% compared to Hot, with slightly reduced search performance that is still sufficient for investigating historical logs. OpenSearch Dashboards provides Discover (log search), Visualize (graph creation), and Dashboard (multi-graph integration) for building real-time log monitoring dashboards. For a comprehensive guide to OpenSearch design patterns, technical books (Amazon) are a useful reference.

Summary

OpenSearch Service is the standard choice for log analytics platforms. Serverless eliminates cluster management, ISM policies optimize storage costs, and Dashboards enables real-time monitoring. Integration with Kinesis Data Firehose lets you build a platform that automatically collects and analyzes logs from AWS services.

Related Services

Amazon OpenSearch ServiceA managed search and analytics service for easy log analysis and full-text searchAmazon KinesisA service for collecting, processing, and analyzing real-time streaming dataAmazon CloudWatchA service that provides monitoring, log management, and alarms for AWS resources and applications

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