Honeycomb

Honeycomb

@honeycomb.io

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

996 followers300 following660 posts

Pinned

🌟 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.

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

claude.comTrace agents with OpenTelemetry on the Claude PlatformAnnouncing OpenTelemetry traces from Claude Managed Agents, the Messages API, and Claude SDKs on the Claude Platform.

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

honeycomb.ioHow Honeycomb Private Cloud Drinks From the Fire HoseHow Honeycomb's Private Cloud team built automated drift reports and an AI triage skill to keep up with configuration changes from every other team.

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

Honeycomb reposted

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.

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

honeycomb.ioHow Adaptive Tail Sampling Works in the OTel CollectorHow the adaptive_tail_sampling processor makes sampling decisions in the OpenTelemetry Collector: buffering, rules, samplers, and more.

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.ioHow Canvas Powers the AI Agent Development Feedback LoopSee how Honeycomb's Canvas powers every stage of the AI agent feedback loop: instrument, investigate, prioritize, ship fixes, and prove they worked.

Honeycomb reposted

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.

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.ioAI Norms & Values, Part 3 of 3: Things We Hold TrueCharity 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.

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

Boris: the PR is a fossil. Charity: it's carrying way too much, "too much for one humble conversation." David: it's not can the agent do it, it's whether a person still adds judgment & collaboration. 2/2

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...

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

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.ioIntroducing AI BubbleUp - Product Update | HoneycombBubbleUp now surfaces AI-powered insights that highlight your most relevant correlations. Available now with Honeycomb Intelligence.

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.ioAMA: More Answers From the Observability Engineering AuthorsMore 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.

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.ioO11yDay London by Honeycomb | 6-7 October 2026O11yDay London is where developers and engineering leaders come together to share what’s actually working: Real challenges, learnings, and outcomes.

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.coO11y Masters: Observability Engineering Masterclass with Liz Fong-JonesA six-session live masterclass with Liz Fong-Jones, turning Observability Engineering into practice. Aug 3 – Oct 14, 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...

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.ioHoneycomb Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Observability PlatformsFor the third consecutive year, Honeycomb has been named a Visionary in the Gartner® Magic Quadrant™ for Observability Platforms.

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

go.hny.coAMA 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.

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

go.hny.coHoneycomb O11yCon and Innovation Week 2026: Agent Timeline, Canvas, and the Move Toward Validation - IDC LinkIDC examines the agent observability announcements from Honeycomb's O11yCon and Innovation Week 2026, and what they signal for the future of observability.

Honeycomb reposted

Honeycomb reposted

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. 🐝

Honeycomb@honeycomb.io

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

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.coAMA 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.

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.ioLattice Watch: Smarter Guardrails for Design System ObservabilityOne 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...