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Honeycomb

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

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Liz Fong-Jones (方禮真) @lizthegrey.com · 29/09/2026
Your SLOs and telemetry are working. Now leadership wants to know why the observability bill went up. My last session was about designing SLOs that mean something. This week's Masterclass is about the bill that follows, and most of it comes down to inefficient sampling.
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Honeycomb @honeycomb.io · 29/09/2026
Today, we released a series of new features including AI Ecosystem, which provides a fleet-wide view of your AI agents’ performance and cost. We also launched 12 Canvas MCP Connectors to offer even more context beyond your telemetry data. See our announcement: www.honeycomb.io/blog/honeyco...
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Honeycomb @honeycomb.io · 28/09/2026
A fixed 1-in-100 sample rate keeps 1% of your errors, 1% of rare routes, and 1% of health checks, all at the same rate. The traces you need during an incident are the most likely to be gone. How adaptive tail sampling fixes that: honeycomb.io/blog/how-adaptive-tail-sampling-works
honeycomb.io
How Adaptive Tail Sampling Works in the OTel Collector
How the adaptive_tail_sampling processor makes sampling decisions in the OpenTelemetry Collector: buffering, rules, samplers, and more.
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Honeycomb @honeycomb.io · 28/09/2026
Watch the full conversation of the first episode of Leading With Observability here. www.honeycomb.io/blog/fin-cto...
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Honeycomb @honeycomb.io · 16/09/2026
Most teams building AI agents are still in reaction mode. A real feedback loop: Instrument → investigate → fix → prove it worked Canvas powers the whole loop. We know because we used it to build Canvas. Full walkthrough: honeycomb.io/blog/how-canvas-powers-ai-agent-development-feedback-loop
honeycomb.io
How Canvas Powers the AI Agent Development Feedback Loop
See how Honeycomb's Canvas powers every stage of the AI agent feedback loop: instrument, investigate, prioritize, ship fixes, and prove they worked.
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Reposted by Honeycomb
Liz Fong-Jones (方禮真) @lizthegrey.com · 15/09/2026
Your SLO breaks. Can your tooling tell you why, or just that something is wrong and customers are suffering? SLOs were popularised by the SRE book a decade ago. Most teams *still* aren't using them well.
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Honeycomb @honeycomb.io · 14/09/2026
New O11yCast — Mike Goldsmith, Martin Thwaites, and Ken Rimple on adaptive sampling, including Honeycomb's new Tail Sampling Processor for the OpenTelemetry Collector. Have a listen here: honeycomb.io/resources/podcasts/ep-93-adaptive-sampling-strategies-with-mike-goldsmith
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Honeycomb @honeycomb.io · 11/09/2026
Closing out our AI norms & values series. Part 3: Ethics, ownership, and how we actually use AI day to day at Honeycomb — energy use, IP, bias, wages, and the places we still don't have good answers. Worth a read if you're thinking through this for your own team. www.honeycomb.io/blog/ai-norm...
honeycomb.io
AI Norms & Values, Part 3 of 3: Things We Hold True
Charity Majors closes Honeycomb's AI Norms & Values series with the principles the company holds true, how it uses AI day to day, and its ethics stance on AI.
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Honeycomb @honeycomb.io · 08/09/2026
Fin set out to 2x productivity. They nearly 3x'd it. Darragh Curran, CTO at Fin, talks with Charity Majors about how observability became the trust mechanism that made it work. honeycomb.io/blog/fin-cto-building-great-engineering-organizations-ai-era
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Honeycomb @honeycomb.io · 01/09/2026
Wolfgang Therrien and Jamie Danielson are speaking this week at ShipItCon 2026 in Dublin. This year's theme is friction: where it slows teams down, and where it's actually doing its job. More here: shipitcon.com #SIC2026
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Honeycomb @honeycomb.io · 31/08/2026
Traditional monitoring catches the failures you already expected. AI workloads fail in stranger ways, which is why they need real observability instead of another dashboard built for problems you can already name.
honeycomb.io
Observability vs. Monitoring for AI Systems | Honeycomb
AI workloads produce novel, non-deterministic failures that monitoring can't predict. Here's why AI systems demand an observability-first approach.
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Honeycomb @honeycomb.io · 28/08/2026
93% of HiPages' job-posting API calls were succeeding. In a marketplace where a missed post is a missed job, that gap mattered. Here's how they closed it.
honeycomb.io
How HiPages Found (and Fixed) Hidden Failures with Honeycomb
How HiPages used Honeycomb to push job-posting API success from 93% to 99%, de-risk a major migration, and triple active users after adopting the Honeycomb MCP.
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Reposted by Honeycomb
Liz Fong-Jones (方禮真) @lizthegrey.com · 27/08/2026
Slides for my @pyconau.bsky.social keynote about scaling our systems from 30 to 70 PRs merged per day at @honeycomb.io: drive.google.com/file/d/1CaO6...
Speaker announcement: Liz Fong-Jones Thursday Keynote, Technical Fellow, honeycomb.io
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Honeycomb @honeycomb.io · 27/08/2026
Boris Tane, David Poll, & Charity Majors debated whether AI killed the SDLC at O11yCon, and didn't agree. 1/2 Watch: www.honeycomb.io/resources/co...
honeycomb.io
Has AI killed the SDLC as We Know it? - O11yCon 2026 Panel
Boris Tane, David Poll, and Charity Majors debate whether AI is upending the SDLC in this O11yCon 2026 panel, moderated by Jessica Kerr.
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Honeycomb @honeycomb.io · 24/08/2026
O11yDay London (Oct 6-7) talks preview: Sam Newman on the hidden complexity in AI systems Corey Quinn on what AI workloads actually cost Yana Chen, Baseten on inference and what breaks at scale Brian Scanlan + Kesha Mykhailov, Fin on doubling output, warts and all www.honeycomb.io/events/o11yd...
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Honeycomb @honeycomb.io · 18/08/2026
A sr engineering manager on our team didn't roll out an AI policy. She blocked calendar time instead. Give people an open hour and they'll spend it on output. Protect the hour yourself, and connection stops feeling like something to justify. Read more: www.honeycomb.io/blog/how-i-s...
honeycomb.io
How I Support Humans in the AI Era
Why one remote engineering manager chose to create space, not policy, as her team adapted to AI together.
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Honeycomb @honeycomb.io · 17/08/2026
Honeycomb + AWS virtual workshop, Aug 25. Connect Honeycomb in one config change, instrument your own AI agent in ~60 lines, and watch Agent Timeline light up with reasoning, tool calls, and token usage. Registration is free: go.hny.co/4yAQPdS
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Reposted by Honeycomb
Liz Fong-Jones (方禮真) @lizthegrey.com · 13/08/2026
The on-demand replay is up, and the next masterclass is Wednesday, Aug 19, on feedback loops. One signup gets you the past videos and access to every upcoming session: go.hny.co/3TY4Imq
go.hny.co
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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Honeycomb @honeycomb.io · 11/08/2026
Our CEO @cyen.bsky.social told Pulse 2.0 how Honeycomb started: she and @charity.wtf saw Facebook's internal tool Scuba at Parse and got hooked on what real debugging visibility could look like for everyone else. pulse2.com/honeycomb-pr...
pulse2.com
Honeycomb: Interview With Co-Founder & CEO Christine Yen About The Observability Platform
Honeycomb is an observability platform that helps software engineering teams understand and debug their complex production systems. Pulse 2.0 interviewed Honeycomb co-founder and CEO Christine Yen to ...
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Honeycomb @honeycomb.io · 10/08/2026
Zeta Global processes billions of events a day. Their fix: Honeycomb Refinery thins routine traffic while keeping errors and rare failures. When something breaks, the telemetry's already there. www.honeycomb.io/resources/ca...
honeycomb.io
How Zeta Global Uses Honeycomb to Understand Their Systems
Marco Aguero, Director of SRE at Zeta Global, shares how his team uses Honeycomb to understand system behavior, investigate complex issues, & operate reliably.
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Honeycomb @honeycomb.io · 07/08/2026
BubbleUp already found your outliers. Now it tells you which dimension actually matters instead of just which one moved the most on a chart. AI insights read your real telemetry and surface what's likely relevant. Nothing hidden, nothing replaced, just faster. www.honeycomb.io/blog/introdu...
honeycomb.io
Introducing AI BubbleUp - Product Update | Honeycomb
BubbleUp now surfaces AI-powered insights that highlight your most relevant correlations. Available now with Honeycomb Intelligence.
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Honeycomb @honeycomb.io · 06/08/2026
Why do we need metrics, logs, traces when only a portion are useful? @charity.wtf's answer: we don't. One well-designed event beats hundreds of logs and metrics. The authors answer more of your Qs following our recent AMA: www.honeycomb.io/blog/ama-rec... #observability #honeycomb
honeycomb.io
AMA: More Answers From the Observability Engineering Authors
More Q&A from our live AMA with the authors of Observability Engineering, covering AI, telemetry, and where humans still need to be in the loop.
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Honeycomb @honeycomb.io · 05/08/2026
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
honeycomb.io
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.
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Honeycomb @honeycomb.io · 04/08/2026
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
go.hny.co
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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Honeycomb @honeycomb.io · 03/08/2026
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 @honeycomb.io · 31/07/2026
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.io
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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Honeycomb @honeycomb.io · 30/07/2026
AI agents can't see inside your app until they get the telemetry SREs use. Aug 25: build it live on AWS EKS with OpenTelemetry + Honeycomb, then watch an AI agent find root cause. Free tier. 🐝 go.hny.co/4yAQPdS #honeycomb #aws #observability #otel
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Honeycomb @honeycomb.io · 28/07/2026
tomorrow, bring us your hardest #observability questions. join the authors of Observability Engineering, 2nd Edition, @charity.wtf , @lizthegrey.com , George Miranda, and @aparker.io for a live AMA. submit your question when you register, or bring it live. go.hny.co/44aBtPt
go.hny.co
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 @honeycomb.io · 27/07/2026
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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Honeycomb @honeycomb.io · 23/07/2026
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
go.hny.co
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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Reposted by Honeycomb
RedMonk @redmonk.com · 23/07/2026
Hear @monkchips.com talk w Charity Majors, Co-founder & CTO @honeycomb.io, about what AI is doing to engineering practices. Majors argues that non-determinism takes more discipline, not less, & every CEO who wants their #AI cookies has to eat their broccoli first. redmonk.com/videos/chari...
redmonk.com
Charity Majors on AI, Determinism, Instrumentation, & Eating Your Broccoli
James Governor talks with Charity Majors, Co-founder and CTO of Honeycomb, about what AI is doing to engineering practices. Majors argues that non-determinism takes more discipline, not less, and ever...
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Reposted by Honeycomb
Charity Majors @charity.wtf · 20/07/2026
We're doing an AMA in a week and a half! Sign up now and send us your toughest questions, we'll do our best. 🐝
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Honeycomb @honeycomb.io · 20/07/2026
A year ago @aparker.io ran one demo to show what AI could do to observability. He just checked that against a year of real data. 🐝 See what he discovered. www.honeycomb.io/blog/what-co...
honeycomb.io
What Comes After Observability?
A year ago, I wrote “It’s the End of Observability (and I Feel Fine). ” The upshot of that post was that AI was about to fundamentally change the way we approach systems design and operation in the ...
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Honeycomb @honeycomb.io · 16/07/2026
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
go.hny.co
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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Reposted by Honeycomb
Liz Fong-Jones (方禮真) @lizthegrey.com · 08/07/2026
Our @honeycomb.io case study with @rwx.com is live! www.rwx.com/customers/ho...
rwx.com
Honeycomb switches to RWX for agent-ready CI/CD
Honeycomb moved from a strained CI system to RWX, accelerating feedback loops by 45% and reducing overall build failures by 50%.
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Honeycomb @honeycomb.io · 14/07/2026
Linters catch hardcoded values. They can't catch an AI agent creatively bypassing your design system to make the UI look right. Honeycomb built an AI-assisted reviewer for that, then used Honeycomb itself to track what it was catching. www.honeycomb.io/blog/lattice... #honeycomb #observability
honeycomb.io
Lattice Watch: Smarter Guardrails for Design System Observability
One of the hardest challenges facing platform teams is wrangling the rising volume of PRs looking to add drift to the systems we've invested in. It's impossible to catch them all, so it's more import...
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Honeycomb @honeycomb.io · 09/07/2026
You can't really understand a system until you run it in production. Building Canvas on AWS AgentCore proved that again. Read about our learnings building on AWS AgentCore. www.honeycomb.io/blog/prototy... #honeycomb #observability #aws
honeycomb.io
From Prototype to Production With AWS AgentCore
This post was co-written with Staff Software Engineer Martin Holman . "Hello world, this is your agent speaking!
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Honeycomb @honeycomb.io · 08/07/2026
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...
honeycomb.io
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).
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Honeycomb @honeycomb.io · 06/07/2026
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...
honeycomb.io
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...
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Honeycomb @honeycomb.io · 29/06/2026
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...
honeycomb.io
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.
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Honeycomb @honeycomb.io · 25/06/2026
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...
honeycomb.io
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.
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Honeycomb @honeycomb.io · 22/06/2026
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
go.hny.co
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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Honeycomb @honeycomb.io · 17/06/2026
"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
go.hny.co
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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Reposted by Honeycomb
Embrace @embrace.io · 16/06/2026
A slow checkout. Three teams asking the same question: app, API, or network? Join @honeycomb.io + Embrace July 14 to learn how to connect frontend sessions to backend traces with #OpenTelemetry, so SRE, mobile, and web teams investigate with shared context. 📍Register here: shorturl.at/R7Qnp
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Honeycomb @honeycomb.io · 16/06/2026
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...
honeycomb.io
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.
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Honeycomb @honeycomb.io · 11/06/2026
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.io
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.
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Honeycomb @honeycomb.io · 10/06/2026
@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...
honeycomb.io
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.
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Honeycomb @honeycomb.io · 09/06/2026
Token leaderboards rose and fell at Amazon and Meta in less than three months. Goodhart's Law has never moved so fast. @aparker.io on what the token ROI debate is really missing: honeycomb.io/blog/it-can-only-goodhart-happen #tokenmaxxing #ai #roi
honeycomb.io
It Can Only Goodhart Happen | Tokenmaxxing | Honeycomb
The rise of token leaderboards to the death of token leaderboards at companies like Amazon seem to have taken place in less than three months.
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Honeycomb @honeycomb.io · 09/06/2026
New #o11ycast digs into how Janaki Vivrekar at Amplitude is tackling AI agent building with evals, auto-tagging, and their own agent analytics product. honeycomb.io/resources/podcasts/ep-91-every-failure-becomes-an-eval-with-janaki-vivrekar #honeycomb #observability #aiagent
honeycomb.io
Ep. #91, Every Failure Becomes an Eval with Janaki Vivrekar
Details On episode 91 of o11ycast, Ken Rimple and Jessica Kerr sit down with Janaki Vivrekar of Amplitude. Janaki shares how Amplitude is building AI-powered analytics agents, why evaluation framewor...
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Honeycomb @honeycomb.io · 03/06/2026
Day 2 of LDX3 London. We're back. 🐝 Yesterday was full of the kind of conversations you don't get at most conferences. Today we're at it again — booth 510 if you want to find us. Come say hi. Bring a hard question. #honeycomb #observability #ldx3london
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