Category: LLM Observability

Articles tagged LLM Observability

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Instrumenting your OpenAI-powered Python, Node.js, and Java Applications with EDOT

Elastic is proud to introduce OpenAI support in our Python, Node.js and Java EDOT SDKs. These add logs, metrics and tracing to applications that use OpenAI compatible services without any code change.

Adrian Cole

LLM Observability with the new Amazon Bedrock Integration in Elastic Observability

Elastic's new Amazon Bedrock integration for Observability provides comprehensive insights into Amazon Bedrock LLM performance and usage. Learn about how LLM based metric and log collection in real-time with pre-built dashboards can effectively monitor and resolve LLM invocation errors and performance challenges.

Agi K Thomas

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

Bahubali Shetti

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.

Bahubali Shetti

LLM Observability with Elastic: Azure OpenAI Part 2

We have added further capabilities to the Azure OpenAI GA package, which now offer prompt and response monitoring, PTU deployment performance tracking, and billing insights!

Muthukumar Paramasivam

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

Bahubali Shetti

Monitor dbt pipelines with Elastic Observability

Learn how to set up a dbt monitoring system with Elastic that proactively alerts on data processing cost spikes, anomalies in rows per table, and data quality test failures

Almudena Sanz Olivé

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.

Bahubali Shetti

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!

Vinay Chandrasekhar

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.

Bahubali Shetti

Bringing observability insights from Elastic AI Assistant to the world of GitHub Copilot

GitHub announced GitHub Copilot Extensions this week at Microsoft Build. We are working with the GitHub team to bring observability insights from Elastic AI Assistant to GitHub Copilot users.

Jeff Vestal

Getting started with the Elastic AI Assistant for Observability and Amazon Bedrock

Follow this step-by-step process to get started with the Elastic AI Assistant for Observability and Amazon Bedrock.

Jonathan Simon