tune-sampling

What problem does it solve?

This Skill provides strategies to manage tracing costs and visibility by selecting appropriate head and tail sampling methods, ensuring critical data is retained without incurring excessive expenses.

Core Features & Use Cases

• Sampling Strategy Selection: Choose between head and tail sampling based on cost, performance, and data importance.
• AI-aware and Customer-controlled Sampling: Incorporate AI-generated spans and customer debug headers into sampling decisions.
• Use Case: Adjust sampling rates for high-volume API services to balance observability with budget constraints, or enable customers to request full trace capture when needed.

Quick Start

Use the tune-sampling skill to determine the most effective sampling approach for your observability needs, balancing cost and data retention.