LoginHow Refinery Helps With Sampling Complex Event Data
Sampling is the practice of extracting a subset of data from a dataset to make conclusions about that larger dataset. It’s far from a perfect solution, but when it’s implemented with Refinery, Honeycomb’s trace-aware…
HoneyByte: Test Out Refinery Yourself!
This HoneyByte walks through how to get Refinery running locally to try out different configuration options and sampling methods.
Refine Your Observability Experience at Scale
Today, we announced that Refinery is now generally available. With Refinery, it’s now easy to highlight the critical debugging data you need and to stop paying for the rest. Refinery is a sampling solution…
Sweetening Your Honey
Are you looking for a better way to troubleshoot, debug, and really see and understand what weird behavior is happening in production? Service-level objectives (SLOs) and observability can help you do all that—but they…
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.
Getting At The Good Stuff: How To Sample Traces in Honeycomb
(This is the first post by our new head of Customer Success, Irving.) Sampling is a must for applications at scale; it’s a technique for reducing the burden on your infrastructure and telemetry systems…
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…