The Engineer’s Guide to Sampling
Without proper management, the sheer volumes of logs, metrics, and traces can overwhelm storage and processing systems and make it difficult to extract meaningful insights. By implementing strategies like sampling, engineers can optimize their telemetry data by retaining the most valuable information while reducing noise and costs. In this guide, we’ll explore the fundamentals of sampling, equipping you with the knowledge to manage your data volumes efficiently without sacrificing visibility into your systems. You'll learn about:
- What sampling is
- Sampling methods you can leverage
- When you need sampling and when you can avoid it
- Configuring your sampling tool
- How to get started with sampling
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