Key concepts in Splunk AI Infrastructure Monitoring

Glossary for key concepts and terminology in Splunk AI Infrastructure Monitoring.

This glossary describes key concepts and terminology in Splunk AI Infrastructure Monitoring.

Dashboard

A group of charts, which are visualizations of metrics and logs. Dashboards provide useful and actionable insight into your system at a glance. Dashboards can be complex or contain just a few charts that drill down only into the data you want to see.

For more information on using dashboards, see Dashboards in Splunk Observability Cloud.

A dynamic link on metadata (a dimension, property, or tag) displayed in Splunk Observability Cloud that navigates to a related resource, such as a dashboard, navigator, or external system. Data links help you get to relevant information faster.

For example, you can link a property for an AI service to the AI navigator that tracks the performance of its underlying infrastructure component.

For more information on using global data links, see:

A collection of resources that you can use to monitor the performance of an infrastructure component. Resources in a navigator can include dashboards, related alerts and detectors, and dependencies. You can monitor all instances of a component type or drill down to a single instance.

For more information on using navigators, see:

Splunk Distribution of the OpenTelemetry Collector

The OpenTelemetry Collector is a tech-agnostic way to receive, process, and export telemetry data. The OpenTelemetry Collector is an open-source project that has a core version and contribution (Contrib) versions. The core version provides receivers, processors, and exporters for general use. The Contrib version provides receivers, processors, and exporters for specific vendors and use cases.

The Splunk Distribution of the OpenTelemetry Collector is a distribution of the OpenTelemetry Collector. It sits on top of the Contrib version and bundles components from OpenTelemetry Core, OpenTelemetry Contrib, and other sources to provide data collection for multiple source platforms.

In Observability for AI, the Splunk Distribution of the OpenTelemetry Collector is used to collect data from your AI agents, applications, and infrastructure components. For more information on the Collector, see Get started with the Splunk Distribution of the OpenTelemetry Collector.

Workload

A collection of computational tasks, processes, and resources used to develop, train, and deploy AI models.