ES|QL Articles
Piping Hot: Bringing ES|QL to Your Grafana Dashboards Using the Elasticsearch Plugin
You can now write ES|QL queries in Grafana with the Elasticsearch plugin. Learn how to enable it and write pipe-based queries directly in the Grafana UI.
Investigate Kubernetes infrastructure issues with PromQL in Elasticsearch & Kibana
Walkthrough of a Kubernetes fleet-wide CPU investigation in Elastic Observability, from cluster to namespace to the noisy pod, using PromQL in Elasticsearch and Kibana.
Exploring metrics from a new time series data stream in Discover
Discover helps you see and understand the metrics in a time series stream, with no manual work required. Once you see that your metrics data is flowing, you're ready to build dashboards, alerts, SLOs, and more.
Query Prometheus Metrics in Elasticsearch with Native PromQL Support
Elasticsearch now supports PromQL natively as a first-class source command in ES|QL. Run familiar Prometheus queries on your time series data directly in Kibana.
Your PromQL queries now run in Kibana!
With PromQL now natively supported in Kibana, write and execute PromQL for analyzing metrics in Discover, in Dashboards visualizations, in alerting rules and wherever else ES|QL is supported. PromQL is currently available in Tech Preview for common metrics analytics use cases.
Turn Dashboards Into an Investigation Tool with ES|QL Variable Controls
Learn how to use ES|QL variables in Kibana to turn a dashboard into an investigation tool, applying value and structure controls to uncover problems.
Elastic's metrics analytics gets 5x faster
Explore Elastic's metrics analytics enhancements, including faster ES|QL queries, TSDS updates and OpenTelemetry exponential histogram support.
Explore and Analyze Metrics with Ease in Elastic Observability
The latest enhancements to ES|QL and Discover based metrics exploration unleash a potent set of tools for quick and effective metrics analytics.
AI-driven incident response with logs: A technical deep dive in Elastic Observability
How Elastic combines ML anomaly detection, ES|QL, and the AI Assistant to accelerate incident response using logs.
Connecting the Dots: ES|QL Joins for Richer Observability Insights
Now in tech preview, ES|QL LOOKUP JOIN lets you enrich logs, metrics, and traces at query time no need to denormalize at ingest. Add deployment, infra, or business context dynamically, reduce storage, and accelerate root cause analysis in Elastic Obervability.