Tracing and Observability for Background Jobs
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…
Budget Planning for Next-generation APM and Observability
If you’re trying to evaluate and understand the ROI of building an observability practice and carve out a budget for it, you’re not alone. You’ve probably got some monitoring and metrics capability already, but…
Notes from On-call Adjacency
I’ve never been on-call, but I’ve been on-call adjacent for a lot of my adult life—my partners, my housemates, my friends…they’ve largely been sysadmins, in Operations, or Dev/Ops, which means I’ve experienced a lot…
How Does Honeycomb Compare to Metrics, Log Management, and APM Tools?
At Honeycomb, we are frequently asked how we compare to what else is out there. Do these other tools offer observability? Do I need them all? What’s important? Metrics? Logs? What’s the best way…
How Much Should My Observability Stack Cost?
What should one pay for observability? What should your observability stack cost? What should be in your observability stack? How much observability is enough? How much is too much, or is there such a…
Diving into Data with Honeycomb: BubbleUp (formerly codename: Drilldown) is in Beta!
This blog miniseries talks about how to think about doing data analysis the Honeycomb way. In this episode, we announce an exciting new feature, currently in beta: BubbleUp! (formerly codenamed: Drilldown) Let’s back up…
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…
How Honeycomb Has Changed the Way Travis CI Operates Their Business
This delightful guest post by Igor Wiedler was originally published on Travis CI’s blog. At Travis CI, we run over 3 million builds per week across three cloud providers with vastly different operating systems…
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…
Level Up With Derived Columns: Wibbly-Wobbly Timey-Wimey Manipulation
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. We…