Blogs

Hands-on, insight-driven content about observing your production and development environments using Elastic Observability.

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Troubleshooting your Agents and Amazon Bedrock AgentCore with Elastic Observability

Discover how to achieve end-to-end observability for Amazon Bedrock AgentCore: from tracking service health and token costs to debugging complex reasoning loops with distributed tracing.

Daniela Tzvetkova

AIOps with Elastic Observability: Modern AIOps & Log Intelligence

Exploring modern AIOps capabilities, including anomaly detection, log intelligence, and log analysis & categorization with Elastic Observability.

Sophia Solomon

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.

Elena Stoeva

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.

Christoph Heger

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.

Pawel Filipczak

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.

Alexander Wert

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.

Milton Hultgren

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.

Kevin Lacabane

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.

Ken Exner

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.

Bahubali Shetti

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.

Vinay Chandrasekhar

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.

David Hope