All Articles

Piping Hot: Bringing ES|QL to Your Grafana Dashboards Using the Elasticsearch Plugin
ES|QLloggingMetrics

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.

Cauê Marcondes

Kubernetes observability: MCP specialist agents for safer EKS triage
OpenTelemetryKubernetesElastic Agent

Kubernetes observability: MCP specialist agents for safer EKS triage

Scope a specialist EKS MCP agent for cluster checks while the Elastic AI Agent triages; fix a service misconfiguration using the specialist agent in a few prompts.

Ramprasad KM

Migrate Logstash Pipelines from Azure Event Hubs to OTel Collector Kafka Receiver
loggingAzureOpenTelemetry

Migrate Logstash Pipelines from Azure Event Hubs to OTel Collector Kafka Receiver

Step-by-step guide to migrating Logstash pipelines from the Azure Event Hubs plugin to the OpenTelemetry Collector Kafka receiver.

Álex Cámara

Investigate Kubernetes infrastructure issues with PromQL in Elasticsearch & Kibana
MetricsES|QLKubernetesOpenTelemetry

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.

Miguel Sánchez

TLS certificate monitoring with Elastic Workflows, Synthetics, and Osquery: Eliminate manual renewals
AIOpsSyntheticsObservability

TLS certificate monitoring with Elastic Workflows, Synthetics, and Osquery: Eliminate manual renewals

Automate TLS certificate monitoring with Elastic Workflows, Synthetics, and Osquery. Detect expiring certificates, rotate, and verify without human intervention.

Adrian Chen

Vu Pham

From raw logs to system knowledge: the AI context layer observability is missing
StreamsLog AnalyticsMachine Learning

From raw logs to system knowledge: the AI context layer observability is missing

A self-updating knowledge base built from your logs: services, dependencies, and failure modes, so your AI agents always know what they are looking at.

Luca Wintergerst

Fixing Elastic Streams processing failures without dropping data
StreamsLog Analytics

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.

Luca Wintergerst

Connecting Cursor to Production Logs via the Elastic MCP Server
APMAI AssistantLog Analytics

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.

Jeffrey Rengifo

Migrating Datadog and Grafana dashboards and alerts to Kibana with the Observability Migration Platform
ObservabilityMetricsPrometheus

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.

Subham Sarkar

Vinay Chandrasekhar

Elastic Ramen: A CLI harness for SRE investigation and remediation
AI AssistantGenAIObservability

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.

Joe Reuter

Vignesh Shanmugam

Agentic Powered Kubernetes Investigations with Elastic Observability and MCP
KubernetesMetrics

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.

Jesse Miller

Kubernetes Observability from alert to root cause: Dashboards, Alerts, and Anomaly Detection with Elastic
KubernetesMetrics

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.

Jesse Miller