Category: Metrics

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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.

Subham Sarkar

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.

Agi K Thomas

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.

Bahubali Shetti

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.

Bahubali Shetti

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

Supercharge Your vSphere Monitoring with Enhanced vSphere Integration

Supercharge Your vSphere Monitoring with Enhanced vSphere Integration

Ishleen Kaur

One-Step Ingest for CloudWatch Logs and Metrics into Elastic Observability with Amazon Data Firehose

AWS users can now leverage the new guided onboarding workflow to ingest CloudWatch logs and metrics in Elastic Cloud and explore the usage and performance of over twenty AWS services within minutes, using the provided CloudFormation template.

Akhilesh Pokhariyal

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

Native OTel-based K8s & App Observability in 3 Steps with Elastic

Elastic's Distributions of OpenTelemetry are now supported with the OTel Operator, providing auto instrumentation of applications with EDOT SDKs, and deployment and lifecycle management of the EDOT OTel Collector for Kubernetes Observability. Learn how to configure this in 3 easy steps

Bahubali Shetti

Unlock possibilities with native OpenTelemetry: prioritize reliability, not proprietary limitations

Elastic now supports Elastic Distributions of OpenTelemetry (EDOT) deployment and management on Kubernetes, using OTel Operator. SREs can now access out-of the-box configurations and dashboards designed to streamline collector deployment, application auto-instrumentation and lifecycle management with Elastic Observability.

Bahubali Shetti

Infrastructure monitoring with OpenTelemetry in Elastic Observability

Integrating OpenTelemetry with Elastic Observability for Application and Infrastructure Monitoring Solutions.

Ishleen Kaur

Adding free and open Elastic APM as part of your Elastic Observability deployment

Learn how to gather application trace data and store it alongside the logs and metrics from your applications and infrastructure with Elastic Observability and Elastic APM.

David Hope