Category: OpenTelemetry
Articles tagged OpenTelemetry
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.
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.
Getting more from your logs with OpenTelemetry
Learn how to evolve beyond basic log ingest by leveraging OpenTelemetry for ingestion, structured logging, geographic enrichment, and ES|QL analytics. Transform raw log data into actionable intelligence with practical examples and proactive observability strategies.
Traces in Discover for Deeper Application Insights in Elastic Observability
Elastic brings traces into Discover. See how you can apply the capabilities of ad-hoc data exploration and ES|QL to your tracing data.
Elastic’s Managed OTLP Endpoint: Simpler, Scalable OpenTelemetry for SREs
Streamline OpenTelemetry data ingestion with Elastic Observability's new managed OTLP endpoint available on Elastic Cloud Serverless. Get native OTel storage and Elastic-grade scaling for logs, metrics, and traces, simplifying observability for SREs.
Web Frontend Instrumentation and Monitoring with OpenTelemetry and Elastic
Learn how frontend instrumentation differs to backend, and the current state of client web instrumentation in OpenTelemetry
The next evolution of observability: unifying data with OpenTelemetry and generative AI
Generative AI and machine learning are revolutionizing observability, but siloed data hinders their true potential. This article explores how to break down data silos by unifying logs, metrics, and traces with OpenTelemetry, unlocking the full power of GenAI for natural language investigations, automated root cause analysis, and proactive issue resolution.
Pivoting Elastic's Data Ingestion to OpenTelemetry
Elastic has fully embraced OpenTelemetry as the backbone of its data ingestion strategy, aligning with the open-source community and contributing to make it the best data collection platform for a broad user base. This move benefits users by providing enhanced flexibility, efficiency, and control over telemetry data.
End to end LLM observability with Elastic: seeing into the opaque world of generative AI applications
Elastic’s LLM Observability delivers end-to-end visibility into the performance, reliability, cost, and compliance of LLMs across Amazon Bedrock, Azure OpenAI, Google Vertex AI, and OpenAI, empowering SREs to optimize and troubleshoot AI-powered applications.
Elastic Distributions of OpenTelemetry (EDOT) Now GA: Open-Source, Production-Ready OTel
Elastic is proud to introduce General Availability of Elastic Distributions of OpenTelemetry (EDOT), which contains Elastic’s versions of the OpenTelemetry Collector and several language SDKs like Python, Java, .NET, and NodeJS. These help provide enhanced features and enterprise-grade support for EDOT.
Dynamic workload discovery on Kubernetes now supported with EDOT Collector
Discover how Elastic's OpenTelemetry Collector leverages Kubernetes pod annotations providing dynamic workload discovery and improves automated metric and log collection for Kubernetes clusters.
Introducing the OTTL Playground for OpenTelemetry
Elastic is proud to introduce the OTTL Playground (https://ottl.run), a powerful and user-friendly tool designed to allow users to experiment with OpenTelemetry Transformation Language (OTTL) effortlessly. The playground provides a rich interface for users to create, modify, and test statements in real-time, making it easier to understand how different configurations impact the OpenTelemetry data transformation.