Introduction to Splunk Observability for AI

Learn about Splunk Observability for AI.

Attention: Beta features described in this document are provided by Splunk to you "as is" without any warranties, maintenance and support, or service-level commitments. Splunk makes this beta feature available in its sole discretion and may discontinue it at any time. Use of beta features is subject to the Splunk General Terms.

Monitor and troubleshoot the performance of the AI components used to build your AI applications with Splunk Observability for AI.

Observability for AI supports monitoring specialized AI components, such as large-language model (LLM) services, model-serving platforms, language frameworks, vector databases, models, infrastructure services, and microservices. For a list of the supported AI components, see Supported AI components, metrics, and metadata.

To keep up to date with changes in Observability for AI, see the Splunk Observability Cloud release notes.

Get started with Splunk Observability for AI

Learn how to get started with Splunk Observability for AI.

To learn how to get data in and monitor your AI components, see Set up Observability for AI.

What can you do with Splunk Observability for AI?

Learn what you can do with Splunk Observability for AI

The following table provides an overview of what you can do with Splunk Observability for AI.
Do thisWith this toolLink to documentation
Orient and explore different layers of your AI tech stack.Built-in navigators

Assess service, endpoint, and system health at a glance.

Built-in dashboards
View all of your LLM service dependency graphs and user interactions in the Application Performance Monitoring (APM) service map or trace view.APM service map and trace viewMonitor LLM services with Splunk APM