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Elastic Distributions of OpenTelemetry (EDOT) Now GA: Open-Source, Production-Ready OTel
Elastic is proud to introduce General Availability of 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.
End to end LLM observability with Elastic: seeing into the opaque world of generative AI applications
Elastic’s LLM Observability delivers end-to-end visibility into the performance, reliability, cost, and compliance of LLMs across Amazon Bedrock, Azure OpenAI, Google Vertex AI, and OpenAI, - empowering SREs to optimize and troubleshoot AI-powered applications.
Dynamic workload discovery on Kubernetes now supported with EDOT Collector
Discover how Elastic's OpenTelemetry Collector leverages Kubernetes pod annotations providing dynamic workload discovery and improves automated metric and log collection for Kubernetes clusters.
Process data from Elastic integrations with the integration filter plugin in Logstash
Offload data processing operations outside of your Elastic deployment and onto Logstash by using the integration filter plugin.
Introducing the OTTL Playground for OpenTelemetry
Elastic is proud to introduce the OTTL Playground (https://ottl.run), a powerful and user-friendly tool designed to allow users to experiment with OpenTelemetry Transformation Language (OTTL) effortlessly. The playground provides a rich interface for users to create, modify, and test statements in real-time, making it easier to understand how different configurations impact the OpenTelemetry data transformation.
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.
Monitor your C++ Applications with Elastic APM
In this article we will be using the Opentelemetry CPP client to monitor C++ application within Elastic APM
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.
Using Anomaly Detection in Elastic Cloud to Identify Fraud
Follow the step-by-step process of using Elastic Cloud’s anomaly detection to analyze example credit card transactions to detect potential fraud.
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.