Kibana Dashboards

Elasticsearch Search Relevance

elastic

Improve Elasticsearch search relevance for content and catalog indices: pin or promote results with query rules (correct rule type, criteria, and rule-query wiring) and tune organic ranking with multi_match, field boosts, and analysis grounded in the index mapping. Use when search results rank poorly, a specific document must appear first for a query, or the user asks to tune full-text matching — not for ES|QL analytics, index ingest, or cluster health.

Elasticsearch Query Optimization

elastic

Diagnose slow Elasticsearch Query DSL searches and propose measured fixes. Use when a search is slow, profile output shows an expensive clause, exact-match filters sit in scoring context, or leading wildcards dominate latency. Ground every recommendation in search profiling — move non-scoring clauses to filter context, eliminate leading wildcards, and re-profile to confirm improvement.

Elasticsearch Ingest

elastic

Load CSV and JSON files into Elasticsearch indices using the bulk API and explicit mappings when field types matter. Use when batch-importing local files, converting CSV rows or JSON arrays to NDJSON bulk format, or verifying document counts and mappings after ingest — not for Logstash pipelines, Beats, custom scripts, or index-to-index reindex.

Elasticsearch Index Design

elastic

依存取模式設計與審查 Elasticsearch 索引對應，涵蓋欄位型別、多欄位與分片設定。

Kibana Anomaly Detection

elastic

用於調查、解釋、疑難排解與設定 Elastic ML 異常偵測作業。

Elasticsearch Cluster Health

elastic

對非綠色 Elasticsearch 叢集進行唯讀排查，指出最可能的原因與修復建議。