Notes from Observability Roundtables
The Velocity conference happened recently, and as part of it we (Honeycomb) hosted a sort of reverse-panel discussion, where you talked, and we listened. You...
Building Your Observability Practice with Tools that Co-exist
A lot of product marketing is about telling people to throw away what they have in favor of something entirely new. Sometimes that is the...
Velocity (& Reliability) - Two must-haves for every software engineering team
(Field notes from O’Reilly’s Velocity 2019 Show, San Jose.) It was steamy hot in San Jose during O’Reilly’s Velocity show and the normally frigid AC...
Reflections on Monitorama 2019
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...
Toward a Maturity Model for Observability
Access to observability is becoming critical to organizations shipping software, running modern infrastructures in production, and to understanding how users are experiencing their service. To...
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...
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...
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...
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...
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...
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...
Explore RubyGems data with Honeycomb
Our new RubyGems.org public dataset is now available — use it to analyze global download traffic of all gems hosted on RubyGems! About RubyGems.org RubyGems.org...
Postmortem: RDS Clogs & Cache-Refresh Crash Loops
On Thursday, October 4, we experienced a partial API outage from 21:02-21:56 UTC (14:02-14:56 PDT). Despite some remediation work, we saw a similar (though less...
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...
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...