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Elasticsearch

Since 2010Distributed search and analytics

Distributed search and analytics — full-text search, logging, and observability stacks.

Overview

Powers my search and observability. Full-text search, ELK stack log aggregation, real-time analytics. Proper index templates, mapping optimization, shard allocation, ILM for retention. Custom analyzers for multi-language search.

Use Cases

  • Full-text search
  • ELK stack
  • real-time analytics
  • monitoring
  • geo search
  • auto-complete

Advantages

  • Extremely powerful search
  • distributed
  • real-time indexing
  • Kibana
  • custom analyzers
  • REST API

Considerations

  • Resource-intensive
  • complex cluster management
  • eventual consistency
  • license changes

Works Great With

DockerKubernetesNode.js

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