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Everything We Talked About at O11yDay London 2026

A recap of every session at O11yDay London 2026, from Sam Newman's cobots and dark factories to Corey Quinn on AI cost observability, plus how Honeycomb debugs its own agents with Canvas, Agent Timeline, and AI Ecosystem.

Relational Query Superpowers

See how Honeycomb's relational query keywords—root, parent, child, any, any2, any3, and none—let you pull attributes from anywhere in a single trace into one query, walked through with a real checkout-error investigation.

Everything We Talked About at O11yCon 2026

We just wrapped O11yCon 2026, and this year's conversations hit differently. Agent-based software development is here, now. It's no longer an optional choice, and everybody is struggling to understand what their agents are doing and how to make them cost less and perform better. Over the course of both days, we saw clearly that the old assumptions on how and who (or what) writes our software has been upended.

Fast AI Feedback Loops with Honeycomb and OpenTelemetry

Observability is the visibility you need to get the job done. Sending telemetry to Honeycomb explains what your agents are actually doing. OpenTelemetry provides semantic conventions for generative AI systems, a spec that defines how agents, LLMs, MCPs, and tools are properly observed. The primary telemetry is defined as trace spans and other events with specific naming patterns, mostly starting with gen_ai.

The Fundamentals: Fast, Deep, and Ready for What Comes Next - Part 3

The previous posts in this series looked at some of the use cases Honeycomb customers are implementing to observe LLMs in production and power agentic observability workflows. In this final post, we’ll take it back to basics and look at how the fundamental capabilities and infrastructure of Honeycomb provide the comprehensive data and fast performance that makes these use cases work at scale.

AI Working for You: MCP, Canvas, and Agentic Workflows - Part 2

In our previous post, we looked at how Honeycomb provides unique visibility into LLMs operating in your production environment. Now, let’s explore how Honeycomb provides observability insights uniquely suited to helping your AI agents rapidly diagnose and fix production issues.

Honeycomb Is Built for the Agent Era. Here's the Proof - Part 1

AI agents are rewriting how software is built and operated. In this series, you’ll learn about 12 use cases across LLM observability, agent debugging, MCP-powered coding agents, and automated AI investigations that prove Honeycomb is the observability platform built for what comes next.

Using Core Web Vitals in Honeycomb Frontend Telemetry

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.

Reporting Exceptions to Honeycomb with Frontend Observability

There are at least two ways to report error details in OpenTelemetry. Web applications generally place exceptions in trace spans as span events, and mobile applications send exceptions as log messages instead. This article will help you understand which approaches you can use, and how the errors will appear in Honeycomb.

Observability Day San Francisco: The Future of AI and Observability Is Bright

AI and observability are no longer separate conversations—they’re deeply intertwined. Across keynotes, panels, and demos, speakers at Honeycomb's Observability Day San Francisco unpacked what that means for engineering teams today: faster insights, smarter tools, and new challenges to solve.

AWS Summit NYC 2025: Laser-Focused on AI

If you’re unfamiliar with AWS Summits, these are conferences that occur on a yearly basis in different cities. The events are mostly used to announce new products and technologies. This year, the theme was AI, as evidenced by the keynote, a large majority of the talks, and a walk around the vendor floor.

Honeycomb Observability Day London: A Jam-Packed Day of Great Talks

Visualizing Session Flow With Honeycomb

I want to know what users are doing in my application. A distributed trace is the best way to show the data flow of one user interaction through my application, but it isn’t sufficient to show the overall user experience.

New Feature: Manage Your session.id in Honeycomb’s Web SDK

The session.id field is special in Honeycomb for Frontend Observability. It’s a default option for filtering and grouping, and it’s the basis for session timeline analysis (in Early Access). Now you can control how session.id is set.

AI for Software Engineering is Just Another “Paradigm Shift”

How many of you started with technologies you still use exactly the same way today? Even if you’re a master Lisp/Clojure developer, you’ve still evolved, right? I should really get my head around those parentheses some day.

Wiring Up a Next.js Self-Hosted Application to Honeycomb

This blog post will get you started ingesting your Next.js application’s telemetry into Honeycomb. I’ll show you the configuration steps, how to view your traces in Honeycomb, and even how to explore your frontend React telemetry with our Frontend Observability Web Launchpad.

Configuring a React Application with Honeycomb For Frontend Observability

In this article, I’ll lay out approaches for wiring Honeycomb to client-side only React so you can ingest your telemetry into Honeycomb and take advantage of the Web Launchpad. This telemetry sends semantically-named attributes, and can be used with any OTLP destination.

Troubleshooting CORS Errors in Offsite API Calls

In this article, I’ll clear up the confusion around Cross-Origin Resource Sharing (CORS), specifically discussing preflight requests, which are the bane of engineers everywhere.