Opensearch

OpenSearch Overview

OpenSearch is an open-source, community-driven search and analytics engine designed for distributed search, log analytics, and real-time data exploration. It originated as a fork of Elasticsearch 7.10 and Kibana 7.10, maintained by the OpenSearch Project under the Amazon Open Source program. It provides a fully open alternative to proprietary search solutions.


🔍 Key Features

  • Full-Text Search Engine
    Powerful search capabilities using Lucene with support for structured and unstructured data.

  • OpenSearch Dashboards
    Visualization and management layer for interacting with OpenSearch data via charts, graphs, and maps.

  • Distributed and Scalable
    Horizontal scaling through sharding and replication across nodes.

  • Security Features (Built-In)
    Authentication, role-based access control (RBAC), encryption (TLS), audit logging, and multitenancy.

  • Anomaly Detection
    Machine learning-based detection of outliers and anomalies in time-series data.

  • SQL and Piped Query Syntax
    Query using SQL-like syntax or OpenSearch's query DSL for flexibility.

  • Alerting and Notifications
    Trigger alerts based on search queries and integrate with Slack, email, or webhooks.

  • Ingestion Pipelines
    Pre-process data using custom pipelines before indexing.

  • Extensibility
    Plugin-friendly architecture and a rich set of community-supported plugins.


📦 Common Use Cases

  • Log and event analytics (e.g., replacing ELK stack)
  • Full-text search for applications and websites
  • Observability and APM (Application Performance Monitoring)
  • Security information and event management (SIEM)
  • Business intelligence dashboards

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