BubbleUp Meets Tracing (and Other Odd-shaped Data)

A few weeks ago, BubbleUp came out of Beta. We’ve been getting fantastic user feedback on how BubbleUp helps users speed through the Core Analysis Loop and lets people find things they never could…

Introducing Honeycomb Learn

Observability-Driven Development for Tackling the Great Unknown

Always Bee Tracing, SF/Bay Area Jan 24. 2019

Metric Analysis, Application Performance Monitoring, and Log Management: Where Does Honeycomb Fit In?

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…

How Much Should My Observability Stack Cost?

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…

Spooky Tales of Testing In Production: A Recap and Lessons Learned

The Core Analysis Loop, or: Heatmaps Make Analysis Better

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…

Heatmaps Make Ops Better

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…

Fastly's Lisa Phillips interviews Honeycomb CEO Charity Majors

Power to the People: Control Your Own Trigger Destiny with Webhooks

When we release something new, whether it’s a new SDK or Beeline or a new feature in the UI, we’ll often set a Honeycomb Trigger to keep track of its use. Sometimes we don’t…

Fueling system discovery with observability

Honeycomb vs Elastic Stack: It’s About Priorities

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…

Level Up with Derived Columns: Two Neat Tricks That Will Improve Your Observability

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.

O11yCon 2018: Notes and Observations

O11ycon Discusses Benefits and Challenges of Observability

Level Up With Derived Columns: Bucketing Events For Comparison

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.

There And Back Again: A Honeycomb Tracing Story

In our previous post about Honeycomb Tracing, we used tracing to better understand Honeycomb’s own query path. When doing this kind of investigation, you typically have to go back and forth, zooming out and back…

Level Up With Derived Columns: Understanding Screen Size (With Basic Arithmetic)

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.

How Are Structured Logs Different From Events?

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…