HoneyByte: Get a Taste for Sampling
Honeycomb’s event-based pricing model is pretty simple: we only care about how many events you send. For teams running workloads at scale, the question becomes: are all of my events worth keeping? How can you reduce overall event volume while maintaining fidelity? This HoneyByte is all about sampling strategies you can use to lower costs without sacrificing the value of your data.
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….
Metrics vs Events: A Conversation About Controlling Volume
If I’m used to metrics, how should I think about events in Honeycomb? This question cuts to the heart of how Honeycomb is different from other vendors in the APM and metrics space who…
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 3
This is the last of three posts focusing on sampling as a part of your toolbox for handling services that generate large amounts of instrumentation data. The first one was an introduction to sampling…
Instrumenting High Volume Services: Part 2
This is the second of three posts focusing on sampling as a part of your toolbox for handling services that generate large amounts of instrumentation data. The first one was an introduction to sampling….
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…