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Honeycomb
Honeycomb
@honeycomb.io
Honeycomb is the observability platform built for the new shape of software.
996 followers300 following660 posts
O11yDay London is a wrap. Writing code is no longer the hard part. Review queues, agent costs, and knowing what’s happening in production, is where teams are getting stuck. Full recap from the event is here: honeycomb.io/blog/everything-we-talked-about-o11yday-london-2026 #O11yDay
Miss a session of the Observability Engineering Masterclass? Catch up on the full series with Liz Fong-Jones (@lizthegrey.com) chapter by chapter. honeycomb.io/go/o11y-masters-2026 #observability #o11y
Join us at AWS re:Invent 2026. Come talk production, agents, and what observability actually looks like at scale at booth 1871 or book time with our team. honeycomb.io/events/aws-re-invent-2026 #AWSreInvent #observability #o11y
Jessica Kerr’s latest blog explores the idea that the ceiling isn’t our imagination, but the development system we build around the agent. More here: honeycomb.io/blog/our-limits-are-not-our-imagination #softwaredevelopment #AIinProduction @jessitron.bsky.social
If your team is happy, are you doing a good job? Charity Majors says not necessarily. Her latest post makes the case, and she’s taking it live with Dr. Cat Hicks for an AMA on October 21. honeycomb.io/go/ama-debugging-your-team-ai
“Agents without the right instrumentation are just a really fast and expensive way to drive into the ditch.” Honeycomb Innovation Week. Join us virtually November 3-4, with Christine Yen and Charity Majors. Bring your toughest questions for the live Q&A. go.hny.co/4yr4anN #observability #o11y
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Sam Newman told me I should fuck around with short form video on different platforms, so here is a post inspired by two very different responses to "Testing in Production", from two different customer bases - @honeycomb.io and @chainguard.dev
Claude now supports native OTel traces from Managed Agents, the Messages API, & Claude SDKs. Every model call, tool use, & MCP server call as a standard OpenTelemetry trace, straight to Honeycomb. Your Claude agents, right next to the rest of your stack. claude.com/resources/ar... #OpenTelemetry
Honeycomb has achieved the AWS Resilience Technology Competency, recognizing our ability to help teams detect, investigate, & recover from production failures on AWS. Second AWS Competency this year. Details: honeycomb.io/blog/honeycomb-aws-resilience-technology-competency @awscloud.bsky.social
Don’t build a puzzle-solving machine. Re-represent the puzzle so it’s less of one to begin with. Our Private Cloud team built automated drift reporting and an AI triage skill to keep pace with changes from every other team. honeycomb.io/blog/how-honeycomb-private-cloud-drinks-from-the-fire-hose
AI mandates have had a mixed track record. Most engineering leaders know something isn’t working, but don’t know what to do about it. Charity Majors (@charity.wtf) and Dr. Cat Hicks are doing a live AMA on exactly that. go.hny.co/47dTv4L #engineeringleadership #AIinProduction
New from Honeycomb: Canvas Connectors for code, incidents, runbooks and tickets. AI Ecosystem for fleet-wide agent performance and cost. Anomaly Detection now GA. And onboarding via MCP from your coding agent. honeycomb.io/blog/agents-need-context-canvas-connectors-ai-agent-visibility
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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...
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
Watch the full conversation of the first episode of Leading With Observability here. www.honeycomb.io/blog/fin-cto...
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
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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
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...
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
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
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.
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.
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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...
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...
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...
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 + 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
Honeycomb reposted
Replying to @lizthegrey.com
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
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...
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...
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...
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
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
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
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...
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...
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
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
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
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
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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...
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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. 🐝
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
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...
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
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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
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