What am I going to learn in this learning path?

You and your team want to make the most of the data flowing through Honeycomb: capturing the right signals, reducing noise, and shaping telemetry pipelines to fit your goals. Observability isn’t just about collecting data; it’s about designing pipelines that deliver the insights you need, when you need them, at the right cost.

The Telemetry Pipeline Operator learning path gives you the skills to understand and control your Honeycomb telemetry pipeline. You’ll start with a conceptual introduction to how sampling works, then learn how to manage data with Refinery, and use Enhance and rehydration from archives to enrich or restore data. By the end, you’ll know how to design data strategies that balance cost, performance, and observability value.

How will I learn these things?

This learning path is made up of multiple courses that combine:

• Videos that explain key concepts in the telemetry pipeline and demonstrate Honeycomb features.

• Hands-on labs where you’ll practice configuring Refinery and rehydrating data.

• Knowledge checks and quizzes to reinforce your understanding and ensure you can apply these strategies in your own environment.

Together, these courses will equip you to design, manage, and optimize your observability data pipelines with Honeycomb.

What do I need before taking this learning path to be successful?

• A general understanding of observability concepts.

• Experience navigating Honeycomb and working with traces.