LLM Observability Articles
LLM observability: track usage and manage costs with Elastic's OpenAI integration
Elastic's new OpenAI integration for Observability provides comprehensive insights into OpenAI model usage. With our pre-built dashboards and metrics, you can effectively track and monitor OpenAI model usage including GPT-4o and DALL·E.
LLM observability with Elastic: Taming the LLM with Guardrails for Amazon Bedrock
Elastic’s enhanced Amazon Bedrock integration for Observability now includes Guardrails monitoring, offering real-time visibility into AI safety mechanisms. Track guardrail performance, usage, and policy interventions with pre-built dashboards. Learn how to set up observability for Guardrails and monitor key signals to strengthen safeguards against hallucinations, harmful content, and policy violations.
2025 observability trends: Maturing beyond the hype
Discover what 500+ decision-makers revealed about OpenTelemetry adoption, GenAI integration, and LLM monitoring—insights that separate innovators from followers in Elastic's 2025 observability survey.
Tracing a RAG based Chatbot with Elastic Distributions of OpenTelemetry and Langtrace
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 with Langtrace.
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.
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.
Elevate LLM Observability with GCP Vertex AI Integration
Enhance LLM observability with Elastic's GCP Vertex AI Integration — gain actionable insights into model performance, resource efficiency, and operational reliability.
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.
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.
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!
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