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Honeycomb
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Honeycomb is the observability platform built for the new shape of software.
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🌟 Hello BlueSky! 🌟

We’re Honeycomb, the observability platform for teams who manage software that matters. Send any data to our one-of-a-kind data store, solve problems with all the relevant context, and fix issues before your customers find them.
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
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.
honeycomb.io
September 16, 2026 at 1:48 PM
Reposted by Honeycomb
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.
September 14, 2026 at 11:02 PM
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
September 14, 2026 at 5:11 PM
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...
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.
www.honeycomb.io
September 11, 2026 at 3:32 PM
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
September 8, 2026 at 3:00 PM
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
September 1, 2026 at 2:34 PM
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.
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.
www.honeycomb.io
August 31, 2026 at 3:01 PM
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.
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.
www.honeycomb.io
August 28, 2026 at 1:43 PM
Reposted by Honeycomb
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...
August 27, 2026 at 1:10 AM
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...
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.
www.honeycomb.io
August 27, 2026 at 1:34 PM
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...
August 24, 2026 at 3:18 PM
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...
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.
www.honeycomb.io
August 18, 2026 at 5:06 PM
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
August 17, 2026 at 4:22 PM
Reposted by Honeycomb
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
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.
go.hny.co
August 13, 2026 at 8:41 AM
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...
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 ...
pulse2.com
August 11, 2026 at 7:57 PM
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...
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.
www.honeycomb.io
August 10, 2026 at 6:42 PM
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...
Introducing AI BubbleUp - Product Update | Honeycomb
BubbleUp now surfaces AI-powered insights that highlight your most relevant correlations. Available now with Honeycomb Intelligence.
www.honeycomb.io
August 7, 2026 at 3:43 PM
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
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.
www.honeycomb.io
August 6, 2026 at 3:25 PM
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.
www.honeycomb.io
August 5, 2026 at 3:05 PM
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.
go.hny.co
August 4, 2026 at 7:49 PM
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...
August 3, 2026 at 3:32 PM
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.
www.honeycomb.io
July 31, 2026 at 2:52 PM
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
July 30, 2026 at 1:49 PM
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
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.
go.hny.co
July 28, 2026 at 3:26 PM
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
July 27, 2026 at 4:47 PM