Elastic Observability Labs

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 - Part 1

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.

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!

Bringing Your Cloud-Managed Kubernetes Audit Logs into Elasticsearch

How to bring your Cloud-Managed Kubernetes Audit Logs into Elasticsearch

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

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

Infrastructure monitoring with OpenTelemetry in Elastic Observability

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

Using a custom agent with the OpenTelemetry Operator for Kubernetes

How to power Observability AI Assistant with local LLMs for on-prem deployments

Finally take advantage of the many benefits that you can get from the Elastic Observability AI Assistant from private or on-prem LLM deployments.