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Josh Parsons
In early 2019, I was ramping up and wrapping my head around our areas of ownership, and that was also around the time when Liz Fong-Jones left Google and joined Honeycomb. Her arrival introduced me to the world of observability, which forever shifted my perspective on how my engineering colleagues and I could be empowered to deeply and collaboratively understand and manage the services and systems in our care.
Austin Parker
With the release of our Agent Skills, we’ve used our domain knowledge to make your agents even more powerful. Instead of having to copy and paste blocks of markdown into Claude Code, we've distilled everything we know about using Honeycomb into a set of core skills, packaged it up, and are making it open source today!
Charity Majors
Your data doesn’t become linearly more powerful as you add more context, it becomes exponentially, combinatorially more powerful with each added attribute.
Nick Travaglini
When we compose teams or staff an incident review, we almost always use identity as a proxy for perspective. We include someone from platform, someone from the application layer, someone from the team that owns the affected service. We assume that different roles and tenures will produce different mental models of the problem, and sometimes that assumption holds. But research on how people actually build mental models of complex systems suggests it fails more often than we'd expect.
In early February, Martin Fowler and the good folks at Thoughtworks sponsored a small, invite-only unconference in Deer Valley, Utah—birthplace of the Agile Manifesto—to talk about how software engineering is changing in the AI-native era. The longer I sit with this recap, the more troubled I am by what it doesn't say. I worry that the most respected minds in software are unintentionally replicating a serious blind spot that has haunted software engineering for decades: relegating production to the realm of bugs and incidents.
Martin Thwaites
The idea behind shifting things to the left, meaning to move certain actions to the start of the process rather than the end or the middle, is around increasing development efficiency by reducing rework or changes. We remove waste from the process by getting it right the first time.
Kale Bogdanovs
This guide gives you a more rigorous framework for evaluating observability tools in an era where your AI assistant depends on them as much as your engineers do. The criteria that matter most are not the ones that show up first in a sales cycle.
Toni Chou
The tradeoff between data completeness and cost has been a feature of metrics platforms for as long as they’ve been around. And as AI becomes central to how engineering teams build and operate software, it is about to become a much more expensive problem.
Mei Luo
The Honeycomb Slackbot is available now in beta for Enterprise customers. Reach out to your customer success team to learn more and get set up!
Jessica Kerr (Jessitron)
The best dashboard is one created just for your application, or your service, or your team. You can get that in minutes with the Honeycomb MCP.
We recently hosted a webinar on AI-assisted development with DORA, and the audience had a lot of questions—far more than we could get to in an hour. I picked out six that get at the stuff people are wrestling with day to day.
Fred Hebert
On December 5th, 2025, we suffered a major outage in our EU region, with the last recovery steps for it extending until December 17th, 2025. For multiple hours, all of Honeycomb’s event ingestion endpoints were down. Most of the duration was spent in a degraded mode where only Activity Log data was impacted. A general timeline is available on our status page, but in this report, we’ll look at a broader analysis of what happened.
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Ken Rimple
In this blog post, I'll discuss some behaviors encountered using Core Web Vitals telemetry, enabled via the Honeycomb Frontend Web SDK. This telemetry is generated from events from Google's Web Vitals script.
Rox Williams
Charity took the time to answer a few additional audience questions we didn’t get to. Dive in below!
Tyler Helmuth
We released a new tool for our MCP server which helps your AIs understand Refinery, and how Honeycomb handles sampling. In this blog, I’ll walk you through the new feature and show how it can help you run Refinery.
When we left Facebook, we were determined to build a tool that would help solve the hardest problems in software. Not by copying everyone else’s architectural hand-me-downs and making incremental improvements, but by borrowing from powerful BI and product tools, and reasoning from first principles about what software engineers need to understand their code in production.
Fahim Zaman
The nature of software development has changed as AI-code generation and agent-based features gain adoption. In perhaps a more subtle shift, the fundamentals of software instrumentation are changing too.
AI reliability and trust is naturally becoming a top-of-mind concern. By 2028, Gartner predicts 40% of organizations will have implemented some form of dedicated AI observability.
Mae Capozzi
Claude Code supports OpenTelemetry out of the box, which means sending telemetry to Honeycomb takes just a few minutes of configuration. In this post, I’ll walk you through exactly how I set this up for one of our monorepos and the insights we gained.
Honeycomb exists to help people understand custom software. It doesn’t pretend to know what matters in your application. That’s an interpretive task, not programmatic.
