Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Describe it, don't draw it: AI-native Kibana dashboards via MCP and ES|QL
From prompt to dashboard. Learn how to build Kibana dashboards with natural language, using example-mcp-dashbuilder: an open source MCP application that writes ES|QL queries, creates interactive charts and exports fully functional dashboards directly to Kibana.
Up to 3x faster stored-vector queries in Elasticsearch
Elasticsearch 9.4 provides a simpler way to search with vectors stored in an Elasticsearch index, with up to 3x lower latency.
Elasticsearch downsampling methods: last-value vs. aggregate sampling
Elasticsearch downsampling now gives you a choice: last-value sampling for maximum storage savings or aggregate sampling for precise rate calculations and counter resets, both fully queryable in ES|QL.
Agentic AI search with deterministic guardrails in Elasticsearch for safe query execution
Agentic AI search systems often fail when LLMs generate queries directly. Learn how deterministic guardrails and a control plane architecture enable safe, reliable, and governed query execution with Elasticsearch.
One query, multiple Elasticsearch Serverless projects: introducing cross-project search
Cross-project search in Elastic Cloud Serverless lets you query data across isolated projects in a single Elasticsearch or ES|QL request: no duplication, no network peering, and no egress costs from copying logs.
Elastic Cloud on Kubernetes, simplified: zone awareness, restarts, and mTLS
ECK 3.4 reduces zone-aware HA from 40 lines of YAML to one field, adds declarative rolling restarts via annotation, and wires Kibana-Elasticsearch mTLS automatically.
Faster cross-project search in Elasticsearch Serverless with project tags and routing
Scope cross-project search in Elasticsearch Serverless with project routing to skip non-matching projects entirely, or with project tag fields to filter, aggregate, and sort by tag inside the query.
Approximate queries in Elasticsearch ES|QL: 100x faster on billions of records, with built-in confidence intervals
ES|QL now supports approximate query execution. Add one line to your queries, and get results orders of magnitude faster, with built-in confidence intervals that tell you exactly how much to trust them.
Don't leave metrics on the table: query them with the ES|QL TS command
Recalibrate your mental model for time series queries: learn why FROM can produce inaccurate results for metrics, how TS fixes that, and when to use each command.
Ecommerce search optimization using margin and popularity boosting in Elasticsearch
Learn how to optimize ecommerce search using margin and popularity boosting. This blog explains how a governed control plane treats economic optimization in Elasticsearch.
Elasticsearch Vector DiskBBQ filter search is now 3–5x faster
Learn how Elasticsearch 9.4 makes restrictive filtered DiskBBQ vector search 3–5x faster and more stable by avoiding wasted centroid and postings-list work when selectivity is high.
Elasticsearch query logs: One coordinator-level line per query for ES|QL, DSL, SQL, and EQL
Easily understand query impact on cluster performance with Elasticsearch query logs. One coordinator-level line records ES|QL, DSL, SQL, and EQL per request and provides full query text, tracing, optional user context, and CCS hints