Operations | Monitoring | ITSM | DevOps | Cloud

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 traffic is kept, while tossing out nearly-identical “boring” traffic. But like any sufficiently advanced technology, it can feel a bit counterintuitive to wield correctly, at first. On Honeycomb’s Customer Architect team, we’re often asked to assist customers with their Refinery clusters.

Well howdy there partner, Phillip here with a rootin’ tootin’ OTel update for ya, right on time for Kubecon EU!

Contrary to Betteridge’s Law of Tabloid Headlines, the answer to the question, "does OpenTelemetry in.NET cause performance degradation?" is yes, but context is important. I get this question so often that I thought it was time to get some stats on it. I’ve heard comments like: I can only assume that these are based on previous versions, or things like OpenTracing / OpenCensus (the heritage frameworks that were the feeders for OpenTelemetry).

Spring has sprung, and the bees have been busy. Let’s have a look at what’s new in Honeycomb at the close of March.

TL;DR—This is a fundraising post! Yes, even in this economy. Here at Honeycomb, we've always focused more on the problems we help our customers solve rather than playing the meta game of posturing in startup-land—so these fundraising blog posts are usually the least fun to write (and read, probably). But this one is a little different.

The Twelve-Factor App methodology is a go-to guide for people building microservices. In its time, it presented a step change in how we think about building applications that were built to scale, and be agnostic of their hosting. As applications and hosting have evolved, some of these factors also need to. Specifically, factor 11: Logs (which I’d also argue should be a lot higher up in the ordering).