Blog

Category: Sampling

Sampling  

How to Avoid Paying for Honeycomb

You probably know that we have a generous free plan that allows you to send 20 million events per month. This is enough for many...

Sampling  

​​Calculating Sampling’s Impact on SLOs and More

What do mall food courts and Honeycomb have in common? We both love sampling! Not only do we recommend it to many of our customers,...

Sampling  

The Evolution of Sampling in Honeycomb: Introducing Refinery 2.0

It's rare to have too much telemetry—it's not often that someone says "I wish I didn't have all this information!" However, telemetry is data, and...

Technical Deep Dives   Sampling  

Achieving Great Dynamic Sampling with Refinery

Refinery, Honeycomb’s tail-based dynamic sampling proxy, often makes sampling feel like magic. This applies especially to dynamic sampling, because it ensures that interesting and unique...

Sampling   Observability  

Author’s Cut—A Sample of Sampling, and a Whole Lot of Observability at Scale

In this post, we’re moving from the foundations of observability to things that become critical when you start practicing observability at scale. Tools like sampling...

Service Level Objectives   Sampling   Ask Miss O11y  

Ask Miss O11y: Load Testing With Fidelity

Dear Miss O11y, My developers and I can't agree about what the right approach is for running load tests in production. Should we even be...

Sampling  

How 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...

Sampling   HoneyBytes  

HoneyByte: Test Out Refinery Yourself!

This HoneyByte walks through how to get Refinery running locally to try out different configuration options and sampling methods....

Sampling   Product Updates  

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...

Sampling   Instrumentation  

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)...

Sampling   HoneyBytes   Events  

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:...

Tracing   Software Engineering   Sampling  

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...

Software Engineering   Sampling   Instrumentation  

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...

Sampling   Metrics  

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...

Sampling   Metrics   Events  

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...