Elastic Brings LLM Observability to Azure AI Foundry to Optimize AI Agents
Developers on Azure AI Foundry can now quickly identify bottlenecks, optimize configurations and improve reliability of agentic AI applications
As organizations adopt agentic AI for mission-critical applications, they face challenges such as uncontrolled token usage, latency bottlenecks, and compliance blind spots. Elastic’s integration with Azure AI Foundry addresses these issues with pre-built dashboards that deliver real-time insights into model usage, performance, costs and content filtering—all in a unified view.
“Agentic AI is only as strong as the models and infrastructure that power it,” said
“This integration with Elastic delivers real-time visibility into token usage, latency, and costs, with built-in safeguards for any model hosted in Azure AI Foundry,” said
To learn more about the Azure AI Foundry integration in Elastic Observability and how to get started, read the blog and our documentation.
Availability
The Elastic Azure AI Foundry integration is available in tech preview on Elastic Observability.
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