Honeycomb

@honeycomb.io

Honeycomb is the observability platform built for the new shape of software.

O11yDay London is happening October 6–7 at Convene Bishopsgate. 🐝 Two days of practitioners talking about AI in production. Hands-on workshops, no sales decks. If you're figuring this stuff out in real time, come compare notes. www.honeycomb.io/events/o11yd... #o11yday #observability #london

O11yDay London by Honeycomb | 6-7 October 2026

O11yDay London is where developers and engineering leaders come together to share what’s actually working: Real challenges, learnings, and outcomes.

honeycomb.io

Log everything, structure nothing, then can't find what you didn't know to look for. That's the trap last week's Observability Masterclass focused on. @lizthegrey.com built wide events live with OpenTelemetry. On demand now. Next up Aug 19: feedback loops x observability. 🐝 go.hny.co/4wdFfDj

O11y Masters: Observability Engineering Masterclass with Liz Fong-Jones

A six-session live masterclass with Liz Fong-Jones, turning Observability Engineering into practice. Aug 3 – Oct 14, 2026.

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sr engineers are wiped from reviewing LLM output and holding context for everyone else's work in flight. jr engineers are stressed because fast implementation used to build careers, and now an LLM does this. The fix? pair people up, keep pairs stable, talk more. www.honeycomb.io/blog/spend-m...

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Honeycomb named a Visionary in the 2026 Gartner® Magic Quadrant™ for Observability Platforms. 3rd year running. AI writes code, agents make the calls, & the old checkpoints are gone. The only question left: do you understand what your system is doing right now? www.honeycomb.io/blog/honeyco...

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.

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every debugging workflow you have was designed for code a human wrote on purpose. agents don't work that way. there's no author to call. @aparker.io's new chapters in observability engineering 2e cover exactly this. instrument it, observe it in prod, get real context. free copy: go.hny.co/4exB7aq

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the observability question is shifting from "what happened?" to "did the system do what was intended?" that's not a feature gap. it's a structural one. IDC's Shannon Kalvar breaks it down in a new report on where agent-era observability is headed go.hny.co/4gKMKgU 🐝 #o11y #ollycon #AIagents

Honeycomb O11yCon and Innovation Week 2026: Agent Timeline, Canvas, and the Move Toward Validation - IDC Link

IDC examines the agent observability announcements from Honeycomb's O11yCon and Innovation Week 2026, and what they signal for the future of observability.

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Observability Engineering's second edition catches up on everything that's changed in observability since 2022. @charity.wtf, @lizthegrey.com, George Miranda, and @aparker.io are doing a live AMA on July 29. Bring your hardest questions, they're asking for it. 🐝 go.hny.co/44aBtPt

AMA with the authors of Observability Engineering!

Hear Charity Majors, Liz Fong-Jones, George Miranda, and Austin Parker answer your questions and discuss what's new in Observability Engineering, 2nd Edition.

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Honeycomb's SRE manager wrote up their first year on the job: bad meetings they over-engineered, and the time they recused themselves from a technical call created team issues. Key takeaway: there are lots of things you could do as a manager, only some you should. www.honeycomb.io/blog/could-s...

Could vs. Should: The First Year Managing an SRE Team

As of today, I’ve drafted this post upwards of 10 times—it’s old enough that the version I first started working on was called “Reflections on 1 Year of SRE Management” (I’m currently at 2. 5 years).

honeycomb.io

EVE Online's codebase: 23 years old, millions of lines of Python. Fenris Creations (formerly CCP Games) learned that AI amplifies whatever good or bad engineering discipline is already there. Their teams also started saying "here's what I'm seeing in Honeycomb." www.honeycomb.io/resources/ca...

How Fenris Creations Uses Honeycomb to Keep EVE Online—Well, Online

When your game holds Guinness World Records for the longest and the largest online battles in history—including a single fight with more than 8,600 players simultaneously—having observability tools yo...

honeycomb.io

Your #AI agent failed in production. The #LLM is probably not why. Tool call errors, silent model upgrades, dropped context on handoffs — that's where agents actually break. New guide from @honeycomb.io on instrumenting the whole chain, not just the LLM layer. www.honeycomb.io/blog/instrum...

Instrumenting AI Agents for the Agent Timeline: A Practical OpenTelemetry Guide

AI agents are nondeterministic, multi-step, and opaque. When one fails in production, "the model said something weird" is the cheapest, most useless line in your incident postmortem.

honeycomb.io

not every workload needs a long-running #otel collector @jessitron.bsky.social figured out how to run it as a lambda: container image, function url, lwa bridging the gap. cold starts ~4s, warm invocations 2–4ms, cost at low volume rounds to zero. read more www.honeycomb.io/blog/running...

Running the OpenTelemetry Collector as a Lambda

The OpenTelemetry Collector is usually deployed as a long-running process: a sidecar, a DaemonSet, an EC2 instance, a docker container on my computer. It sits there listening for telemetry.

honeycomb.io

what's the thing your engineering team keeps relearning the hard way? the latest #observabilityengineering covers new areas incl. debugging #LLMs in prod, #agentic workflows, #telemetry pipelines, and organizational changes that make or break an #observability program. free copy: go.hny.co/4exB7aq

Honeycomb’s O’Reilly Book Observability Engineering, 2nd Ed.

Let authors Charity Majors, Liz Fong-Jones, George Miranda, and Austin Parker explain how to apply Observability successfully in your organization.

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"Most teams are shipping faster than ever, accelerated by AI. They're not learning faster. They're just accumulating risk faster." — @charity.wtf Observability Engineering, 2nd Edition is out today. Nearly 600 pages. Free. go.hny.co/4ebtFCQ #observability #honeycomb

Honeycomb’s O’Reilly Book Observability Engineering, 2nd Ed.

Let authors Charity Majors, Liz Fong-Jones, George Miranda, and Austin Parker explain how to apply Observability successfully in your organization.

go.hny.co

Slow is the new downtime. That line came out of a roundtable at #LDXLondon and it hasn't left us since. Because it's true, and most observability programs aren't built for it. New post on what the scorecard actually needs to look like now www.honeycomb.io/blog/observa...

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, like savings and speed.

honeycomb.io

Honeycomb is at AWS Summit NYC on June 17th, Booth 819. Come see demos of observability with and for AI, bring a real problem, and enter to win a Loops Lab Music Creation System. Book time with us ahead of the day: honeycomb.io/events/aws-summit-nyc #honeycomb #observability #aws #awssummit

Honeycomb at AWS Summit NYC 2026

Catch Honeycomb at AWS Summit New York. See demos of observability with AI and for AI, and talk to our team about what actually shortens time-to-fix in production.

honeycomb.io

@lizthegrey.com just completed our fourth #Graviton retrospective, migrating from #AWS Graviton4 to Graviton5 and running both side by side for 60 days. We also used Canvas to reproduce part of the investigation. Full data plus a public Canvas to explore yourself: www.honeycomb.io/blog/gravito...

Graviton5: Per-service Results From the m8g to m9g Migration

The 4th installment in our Graviton series. The methodology is the same: hold the workload constant, run both gens on the same K8s namespace concurrently.

honeycomb.io

what does it feel like when your observability finally matches the complexity of what you've built? you stop checking if things are okay and start knowing. See how Depot got there with Honeycomb. 🐝 → www.honeycomb.io/resources/ca... #observability #honeycomb

How Depot Powers Modern Software Builds With Honeycomb

Depot replaced homegrown observability with Honeycomb & gained the clarity to run products, serve a growing customer base, and catch issues before customers do.

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