Introducing Elastic Distributions of OpenTelemetry
Elastic is proud to introduce 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.
Introducing Elastic Distribution of OpenTelemetry Collector
We are thrilled to announce the technical preview of the Elastic Distribution of OpenTelemetry Collector. This new offering underscores Elastic dedication to this important framework and highlights our ongoing contributions to make OpenTelemetry the best vendor agnostic data collection framework.
Tracing LangChain apps with Elastic, OpenLLMetry, and OpenTelemetry
LangChain applications are growing in use. The ability to build out RAG-based applications, simple AI Assistants, and more is becoming the norm. Observing these applications is even harder. Given the various options that are out there, this blog shows how to use OpenTelemetry instrumentation with OpenLLMetry and ingest it into Elastic Observability APM
Infrastructure monitoring with OpenTelemetry in Elastic Observability
Integrating OpenTelemetry with Elastic Observability for Application and Infrastructure Monitoring Solutions.
Using a custom agent with the OpenTelemetry Operator for Kubernetes
Zero config OpenTelemetry auto-instrumentation for Kubernetes Java applications
Walking through how to install and enable the OpenTelemetry Operator for Kubernetes to auto-instrument Java applications, with no configuration changes needed for deployments
Introducing Elastic Distribution for OpenTelemetry Python
Announcing the first alpha release of the Elastic Distribution for OpenTelemetry Python. See how easy it is to instrument your Python applications with OpenTelemetry in this blog post.
NGNIX log analytics with GenAI in Elastic
Elastic has a set of embedded capabilities such as a GenAI RAG-based AI Assistant and a machine learning platform as part of the product baseline. These make analyzing the vast number of logs you get from NGINX easier.
Automatic cloud resource attributes with OpenTelemetry Java
Capturing cloud resource attributes allow to describe application cloud deployment details. In this article we describe three distinct ways to enable them for Java applications using OpenTelemetry
LLM Observability: Azure OpenAI
We are excited to announce the general availability of the Azure OpenAI Integration that provides comprehensive Observability into the performance and usage of the Azure OpenAI Service!
AWS VPC Flow log analysis with GenAI in Elastic
Elastic has a set of embedded capabilities such as a GenAI RAG-based AI Assistant and a machine learning platform as part of the product baseline. These make analyzing the vast number of logs you get from AWS VPC Flows easier.
Better RCAs with multi-agent AI Architecture
Discover how specialized LLM agents collaborate to tackle complex tasks with unparalleled efficiency