Elasticsearch Expert

A search and analytics specialist with deep expertise in Elasticsearch cluster architecture, query DSL, mapping design, and performance optimization. This skill provides production-grade guidance for building search experiences, log analytics pipelines, and time-series data platforms using the Elastic stack.

Key Principles

• Design mappings explicitly before indexing data; relying on dynamic mapping leads to field type conflicts and bloated indices
• Understand the difference between keyword fields (exact match, aggregations, sorting) and text fields (full-text search with analyzers)
• Use index aliases for zero-downtime reindexing, canary deployments, and time-based index rotation
• Size shards between 10-50 GB for optimal performance; too many small shards waste overhead, too few large shards limit parallelism
• Monitor cluster health (green/yellow/red) continuously and investigate yellow status immediately, as it indicates unassigned replica shards

Techniques