Duration: 30 minutes

Last Updated: August 2025

What am I going to learn in this course?

Are you struggling to manage the flood of telemetry data from your systems? Maybe you want to control costs without sacrificing visibility into what really matters. Sampling is the key, but only if you understand how to use it effectively.

In this course, you’ll learn the fundamentals of sampling telemetry data and how it impacts observability in Honeycomb. You’ll explore why sampling works, the tradeoffs between different strategies, and how Honeycomb’s Refinery makes it possible to scale telemetry pipelines intelligently.

How will I learn these things?

This course combines short, focused videos with knowledge checks to help you build a solid mental model of sampling concepts:

• Concept videos explain what sampling is, how different strategies work, and the tradeoffs between them.

• Knowledge checks to help you practice what you've learned.

What do I need before taking this course to be successful?

• A basic understanding of tracing and how data is visualized in Honeycomb.

• Familiarity with telemetry pipelines or observability workflows in your role.