Elastic Observability Labs

OpenTelemetry browser instrumentation using EDOT Browser & Kibana
OpenTelemetryjavascriptAPMInstrumentation

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.

David Luna

Exploring metrics from a new time series data stream in Discover
MetricsStreamsES|QLTSDB

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.

Miguel Sánchez

How Streams Generates a Log Pipeline in Seconds
StreamsLog AnalyticsMachine Learning

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.

Luca Wintergerst

Query Prometheus Metrics in Elasticsearch with Native PromQL Support
PrometheusMetricsES|QL

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.

Sergey Sidorov

Felix Barnsteiner

Kostas Krikellas

Costin Leau

Your PromQL queries now run in Kibana!
MetricsES|QL

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.

Miguel Sánchez

Vinay Chandrasekhar

Felix Barnsteiner

Automated Reliability: The Architecture of Self-Healing Enterprises

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.

Adrian Chen

Vu Pham

Emily McAlister

How Prometheus Remote Write Ingestion Works in Elasticsearch
PrometheusMetricsElastic Architecture Enhancements

How Prometheus Remote Write Ingestion Works in Elasticsearch

A look under the hood at Elasticsearch's Prometheus Remote Write implementation: protobuf parsing, metric type inference, TSDS mapping, and data stream routing.

Felix Barnsteiner

Ship Prometheus Metrics to Elasticsearch with Remote Write
PrometheusMetrics

Ship Prometheus Metrics to Elasticsearch with Remote Write

Elasticsearch natively supports Prometheus Remote Write. Add a single remote_write block to your Prometheus config and use Elasticsearch as Prometheus-compatible long-term storage.

Felix Barnsteiner

Visualizing OpenTelemetry Data in Elastic with OpenTelemetry Content Packages
OpenTelemetryObservability

Visualizing OpenTelemetry Data in Elastic with OpenTelemetry Content Packages

Learn and explore how OpenTelemetry Content Packages in Elastic provide instant dashboards, alerts, and SLOs for your telemetry data.

Ishleen Kaur

How to cut Elasticsearch log storage costs with LogsDB
Log AnalyticsElastic Architecture Enhancements

How to cut Elasticsearch log storage costs with LogsDB

Learn how to enable LogsDB index mode in Elasticsearch and measure real storage savings. We compare a standard index against a LogsDB index using Apache logs and show how much storage you can reclaim.

Jeffrey Rengifo

Elasticsearch over the years — how LogsDB cuts index size by up to 75% at no throughput cost
Log AnalyticsElastic Architecture Enhancements

Elasticsearch over the years — how LogsDB cuts index size by up to 75% at no throughput cost

By default, Elasticsearch is optimized for retrieval, not storage. LogsDB changes that. Here's the layered architecture behind a 77% index size reduction.

Luca Wintergerst

Migrate Logstash Pipelines from Azure Event Hubs to Kafka Input Plugin
Azure

Migrate Logstash Pipelines from Azure Event Hubs to Kafka Input Plugin

Step-by-step guide to migrating Logstash pipelines from the Azure Event Hubs plugin to the Kafka input plugin to eliminate offset storage costs and improve performance.

Álex Cámara