Tracing, logs, and metrics for a RAG based Chatbot with Elastic Distributions of OpenTelemetry
How to observe a OpenAI RAG based application using Elastic. Instrument the app, collect logs, traces, metrics, and understand how well the LLM is performing with Elastic Distributions of OpenTelemetry on Kubernetes and Docker.
Auto-instrumentation of Go applications with OpenTelemetry
Instrumenting Go applications with OpenTelemetry provides insights into application performance, dependencies, and errors. We'll show you how to automatically instrument a Go application using Docker, with no changes to your application code.
Introducing Elastic's distribution of OpenTelemetry PHP
Announcing the first alpha release of the Elastic distribution of OpenTelemetry PHP. See how easy it is to instrument your PHP applications with OpenTelemetry in this blog post.
Observing Langchain applications with Elastic, OpenTelemetry, and Langtrace
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 Langtrace and ingest it into Elastic Observability APM
LLM Observability with Elastic, OpenLIT 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 the OpenLIT instrumentation library to ingest traces into Elastic Observability APM.
Tailoring span names and enriching spans without changing code with OpenTelemetry
The OpenTelemetry Collector offers powerful capabilities to enrich and refine telemetry data before it reaches your observability tools. In this blog post, we'll explore how to leverage the Collector to create more meaningful transaction names in Elastic Observability, significantly enhancing the value of your monitoring data.
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.
Monitor your Python data pipelines with OTEL
Learn how to configure OTEL for your data pipelines, detect any anomalies, analyze performance, and set up corresponding alerts with Elastic.
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
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