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Danyel Fisher
To have Observability is to have the ability to understand your system’s internal state based on signals and externally-visible output. Honeycomb’s approach to Observability is to strive toward this: every feature of the product…
Alyson van Hardenberg
Feature flags are great and serve us in so many ways. However, we do not love long-lived feature flags. They lead to more complicated code, and when we inevitably default them to be true…
Charity Majors
I’ve said this before, but I’m saying it again: observability is not a synonym for monitoring, and there are no three pillars. The pillars are bullshit. Briefly: monitoring is how you manage your known-unknowns,…
Christine Yen
This year was my third in a row attending (and now speaking at!) Monitorama. Because the organizers do a great job of turning introverts into extroverts for three days straight, it’s always a fun…
Nathan LeClaire
Illuminating the under-loved with Honeycomb Most modern web apps end up sprouting some subset of tasks that happen in the “background”, i.e., when a user is not directly waiting on the request from a…
If you’re involved in improving the performance of your application, you’ve probably heard about application performance monitoring (APM), metric analysis, and log management. But you might not understand what they are or the differences…
UPDATE: Charity has written an update on observability spend for 2025 with new figures. Read the two-part blog series here: Part 1: Is your observability a cost or an investment? Part 2: Observability cost…
In this blog miniseries, I’m talking about how to think about doing data analysis, the Honeycomb way. In Part I, I talked about how heatmaps help us understand how data analysis works. In Part…
In this blog miniseries, I’d like to talk about how to think about doing data analysis “the Honeycomb way.” Welcome to part 1, where I cover what a heatmap is—and how using them can…
Rachel Perkins
If you’ve been paying attention, you know that although collecting and reviewing metrics and logs is a core part of running a stable and successful service, access to raw events and the ability to…
Ben Hartshorne
When we released derived columns last year, we already knew they were a powerful way to manipulate and explore data in Honeycomb, but we didn’t realize just how many different ways folks could use them.
Sam Stokes
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Emily Nakashima
We’re all collectively trying to define observability (“o11y,” pronounced “olly”) these days, and, as Honeycomb is sometimes described as an event-based observability product, trying to define all the other words that go around o11y…
If you think about it, mobile apps are among the production services most in need of real observability: nearly countless hardware platforms and operating systems in combination with your app’s code result in a…
Everybody and their freaking grandpa is now claiming to do observability, not stodgy old monitoring. Fine, great. Nice to be trendy I guess. But are they? What’s the difference? You all know how I…
Travis Redman
At Honeycomb, we’re excited about Kubernetes. In fact, we’re in the early stages of moving some of our services to k8s. Tools like kops have made getting started with k8s easier than ever. But…
Guest Blogger
We’re grateful for this guest post from Tim Wilde! You can find the source code for the examples he uses in his github repo. Strings are where data go to die There you go;…
Observability has been getting a lot of attention recently. What started out as a fairly obscure technical term, dragged from the dusty annals of control theory, has been generating attention for one simple reason:…
I went to Monitorama last year for my first time. It was great; I had a terrific time. But I couldn’t help but notice how speaker after speaker in talk after talk spent time…
