Observability

August 26, 2026

7 Best Datadog Alternatives for AI and Agent Observability

Comparing Datadog alternatives for AI and agent observability? See how Honeycomb, New Relic, Dynatrace, Grafana Cloud, Phoenix, Langfuse, and SigNoz stack up on cost, investigation, and OpenTelemetry support.

AI & LLMs

Observability

August 4, 2026

Rox Williams

AMA Recap: More Answers From the Observability Engineering Authors

We couldn't get through every question during our live AMA with the authors of Observability Engineering, so Charity, Liz, George, and Austin stuck around to answer more on AI, telemetry, and what still needs a human in the loop.

AI & LLMs

Observability

July 29, 2026

Shabih Syed

Honeycomb Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Observability Platforms

For the third consecutive year, Honeycomb has been named a Visionary in the Gartner® Magic Quadrant™ for Observability Platforms. The recognition reflects Honeycomb's vision for fast, flexible, high-cardinality querying, agent-era observability with Agent Timeline and Canvas, and predictable event-based pricing at trillions of events.

July 20, 2026

What Comes After Observability?

A year ago, I predicted ways in which AI was about to fundamentally change observability as we knew it. Here's what we've seen happen since—both at Honeycomb and with our customers—and what we're building for the future.

Observability

AI & LLMs

Shipping Is Your Company's Heartbeat: A Letter from a CTO

July 14, 2026

Charity Majors

Shipping Is Your Company's Heartbeat: A Letter from a CTO

In an open letter to engineering leaders everywhere, Fin CTO Darragh Curran explains that AI isn't a magic wand but rather an amplifier—of the good and the bad—of your engineering practices. And engineering rigor is more important than ever.

July 13, 2026

Lattice Watch: Smarter Guardrails for Design System Observability

In the past, I was part of a group of engineers responsible for doing random code reviews with an eye for design system adherence. The design system team had been tracking who used their system the most and invited those engineers to help them review PRs, with the hope that education would be the key to getting more product engineers to use the system. I wanted to create something like that here at Honeycomb for our design system, Lattice.

July 10, 2026

15 Best AI Observability Tools for Production Teams in 2026

Compare the best AI observability tools for tracing, evals, token cost tracking, agent workflows, and production reliability in 2026.

AI & LLMs

Observability

July 10, 2026

Kale Bogdanovs

Observability vs. Monitoring for AI Systems

Monitoring catches the failures you predicted. AI systems fail in ways you didn't. This post breaks down why AI workloads demand observability—request-level context, distributed tracing, and learning from production—rather than another wall of dashboards.

Observability

AI & LLMs

June 18, 2026

Charity Majors

The Second Edition of Observability Engineering Is Here

The second edition of Observability Engineering is available for download on our website.

News & Announcements

Observability

June 15, 2026

Colin Burke

Observability: Are You Measuring What Actually Matters?

Old observability metrics like uptime and MTTR aren't enough anymore. Teams must connect technical signals to business outcomes, especially as AI raises the stakes.

May 28, 2026

Top 7 Dynatrace Alternatives in 2026

Evaluating Dynatrace alternatives? Compare top observability platforms, including Honeycomb, Datadog, New Relic, Grafana, and more on features, pricing, and complexity to find the best fit for your team.

May 6, 2026

Top 7 Grafana Alternatives in 2026

Exploring Grafana alternatives? Compare top observability platforms, including Honeycomb, Datadog, Dynatrace, and more, on features, pricing, and ease of use to find the right fit for your team.

April 10, 2026

Your Questions About AI Agents and Production Feedback Answered

We got a ton of great questions from attendees, and I didn't have time to answer all of them during the session. So, here are my answers to the ones I found most interesting, and most representative of what people are actually grappling with right now.

AI & LLMs

Observability

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

April 6, 2026

Ken Rimple

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 & LLMs

Observability

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

April 6, 2026

Ken Rimple

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.

AI & LLMs

Observability

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

April 6, 2026

Ken Rimple

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.

AI & LLMs

Observability

March 25, 2026

Charity Majors

Scary Things Happen in Production. Context Helps You Find Them.

Your data doesn’t become linearly more powerful as you add more context, it becomes exponentially, combinatorially more powerful with each added attribute.

Observability

March 12, 2026

Kale Bogdanovs

Evaluating Observability Tools for the AI Era

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.

AI & LLMs

Observability