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Dynamic Sampling by Example

Last week, Rachel published a guide describing the advantages of dynamic sampling. In it, we discussed varying sample rates to achieve a target collection rate overall, and having different sample rates for distinct kinds…

The New Rules of Sampling

One of the most common questions we get at Honeycomb is about how to control costs while still achieving the level of observability needed to debug, troubleshoot, and understand what is happening in production….

Honeycombers at LISA 2017

Did you go to LISA this year? I used to go back in the 1998-2003 timeframe (anyone remember playing the original Guitar Hero in that huge arcade in Seattle?) and I hope to make…

System Debug Like a Pro with Smart Sampling

The Addiction to Data Collection Like many developers in today’s Brave New Distributed World, I’ve started to develop an addiction lately: I’m addicted to data. Data, whether it’s small or big or consultant big,…

Dynamic Sampling in Honeytail

A while ago I wrote a three part series on sampling, covering an introduction, some simple straight forward ways to do it, and some ideas for fancy implementations. I’m happy to say that that…

Instrumenting High Volume Services: Part 1

This is the first of three posts focusing on sampling as a part of your toolbox for handling services that generate large amounts of instrumentation data. Recording tons of data about every request coming…