Introduction to Splunk AI Observability

Learn about Splunk AI Observability.

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 AI Observability.

AI Observability 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 AI Observability, see the Splunk Observability Cloud release notes.

Get started with Splunk AI Observability

Learn how to get started with Splunk AI Observability.

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

What can you do with Splunk AI Observability?

Learn what you can do with Splunk AI Observability.

The following table provides an overview of what you can do with Splunk AI Observability.
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