Documentation for automated readers
A curated documentation index is available at: https://grafana.com/llms.txt
A complete documentation index is available at: https://grafana.com/llms-full.txt
These indexes can help with page discovery before fetching individual documents.
This page is also available in Markdown, which may be easier for automated readers and AI tools to parse than HTML. The Markdown version is available at https://grafana.com/docs/grafana-cloud/adaptive-telemetry/adaptive-traces/guides.md, or by sending Accept: text/markdown to https://grafana.com/docs/grafana-cloud/adaptive-telemetry/adaptive-traces/guides/. For broader documentation discovery, the curated index is available at https://grafana.com/llms.txt and the complete index is available at https://grafana.com/llms-full.txt.
Guides
Guides in the Adaptive Traces documentation provide in-depth information and practical steps for real-world situations to help you move beyond basic setup and use and onto solving more complex challenges.
This section includes the following types of documentation.
Scenarios
Walks you through an end-to-end workflow to solve a specific, real-world problem. These guides are detailed and provide a narrative-driven approach to using Adaptive Traces in a particular context.
Examples
Provides self-contained, concrete illustrations of concepts, configurations, or pieces of code. Unlike scenarios, which teach a process, examples offer a practical, working model that you can often adapt for your own use.
Best practices
Provides recommendations, guidelines, and expert advice for using Adaptive Traces effectively and efficiently. They help you optimize your configuration and follow established architectural principles.
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