All Articles
Fixing Elastic Streams processing failures without dropping data
When your Streams ingest pipeline breaks, failed documents land in the failure store, not the floor. Here's how to use those exact failures to fix your pipeline without re-ingesting from the source.
Connecting Cursor to Production Logs via the Elastic MCP Server
Learn how to connect Cursor to your Elastic APM data using the Elastic Agent Builder MCP server, so you can debug production errors and make UI decisions backed by real usage data without leaving your editor.
Migrating Datadog and Grafana dashboards and alerts to Kibana with the Observability Migration Platform
Learn how to migrate supported Datadog and Grafana dashboards and alerts to Kibana with the Observability Migration Platform.
Elastic Ramen: A CLI harness for SRE investigation and remediation
Exploring Elastic Ramen, a CLI harness that brings Agent Builder conversations, skills, and tools into the terminal so engineers can move from investigation to remediation in a single thread.
Agentic Powered Kubernetes Investigations with Elastic Observability and MCP
See how Elastic's Agentic powered Kubernetes observability uses MCP App, agent skills to let agents investigate clusters, detect anomalies, and automate root cause analysis.
Kubernetes Observability from alert to root cause: Dashboards, Alerts, and Anomaly Detection with Elastic
Kubernetes observability with Elastic includes dashboards, alert rules, and ML anomaly detection for alerts with root-cause context.
OpenTelemetry browser instrumentation using EDOT Browser & Kibana
A step-by-step guide on OpenTelemetry browser instrumentation. Learn how to add EDOT Browser to a web app, export browser telemetry via OTLP, and verify traces, spans, and service maps in 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.
How Streams Generates a Log Pipeline in Seconds
Streams generates a complete, tested log processing pipeline from a single click. Here's the two-stage mechanism behind it: deterministic fingerprinting, a reasoning agent that iterates against real data, and hard validation thresholds that enforce quality before you see the result.
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.
Automated Reliability: The Architecture of Self-Healing Enterprises
Discover how to close the remediation gap using automation and artificial intelligence. Learn to build self-healing systems that detect, analyse, and fix infrastructure issues automatically. Improve system reliability and eliminate manual operations today.