Elastic Observability Labs
Elastic Agent 9.2 brings hybrid ingestion to Elastic Observability, unifying native integrations and OpenTelemetry receivers to simplify large-scale OTel adoption without disruption.
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Elastic Observability: Streams Data Quality and Failure Store Insights
Discover how the Streams a new AI driven Elastic Observability feature help manage data quality with a failure store to help you monitor, troubleshoot, and retain high-quality data.
EDOT SDK central configuration using OpAmp in Elastic Observability
Learn how to configure the Elastic Distributions of OpenTelemetry (EDOT) SDKs centrally via the EDOT Collector using OpAmp in Elastic Observability at scale.
OpenTelemetry for PHP: EDOT PHP joins the OpenTelemetry project
Explore Elastic’s donation of its EDOT PHP to the OpenTelemetry community and discover how it makes OpenTelemetry for PHP simpler and more accessible.
OpenTelemetry Data Quality Insights with the Instrumentation Score and Elastic
This post explores the Instrumentation Score for OpenTelemetry data quality, sharing practical insights, key learnings, and a hands-on look at implementing this approach with Elastic's powerful observability features.
Reconciliation in Elastic Streams: A Robust Architecture Deep Dive
Learn how Elastic's engineering team refactored Streams using a reconciliation model inspired by Kubernetes & React to build a robust, extensible, and debuggable system.
How Streams in Elastic Observability Simplifies Retention Management
Learn how Streams simplifies retention management in Elasticsearch with a unified view to monitor, visualize, and control data lifecycles using DSL or ILM.
Introducing Streams for Observability: Your first stop for investigations
Introducing Elastic Streams, an new AI observability feature that transforms logs from a noisy and expensive data source into a primary investigation signal.
Live logs and prosper: fixing a fundamental flaw in observability
Stop chasing symptoms. Learn how Streams, in Elastic Observability fixes the fundamental flaw in observability, using AI to proactively find the 'why' in your logs for faster resolution.
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.
A day in the life of an OpenTelemetry maintainer
In this article, we will discover what the role of a maintainer is about, and how they make Open Source projects alive.
Automating User Journeys for Synthetic Monitoring with MCP in Elastic
This post explores how you can automatically create user journeys with Synthetic Monitoring in Elastic Observability, TypeScript, and FastMCP, and walks through the app and its workflow.