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01
How-to 9 min read

How to Configure OTel Collector Tail Sampling

Move from flat probabilistic sampling to tail-based sampling in the OTel Collector. Keep every error and slow trace, cut health-check noise to 1%, and check that the Collector is doing what you think.
02
Article 7 min read

Your Sampling Strategy Is Lying to You

A flat 5% sampling rate sounds like a sensible trade between cost and coverage. It isn't. A random slice of your traffic is mostly the requests you'll never look at, and it throws away the rare ones you need at the same rate.
03
Article 6 min read

The dashboard was green, but the request was broken.

Metrics tell you how the crowd is doing. Logs tell you what one service saw. A trace tells you what one request went through, and at 2 a.m. that is usually the question you are asking.
04
Guide 11 min read

High-Throughput Logging: Sampling, Collectors, and the Wire

At 1.5 million log events per second you cannot keep, batch, or ship everything the way you did at moderate scale. Content-aware sampling, OTel exporter tuning, Collector-side batching, and cheaper bytes on the wire.