Honeycomb
@honeycomb
Honeycomb is the observability platform built for the new shape of software.
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
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...
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
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
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
Toronto, we're coming for you. 🐝 AWS Summit, June 3rd, Booth 327. Stop by for a demo of observability with AI and for AI. Enter to win a Loops Lab Music Creation System. Talk shop with our team. Book ahead: honeycomb.io/events/aws-summit-toronto #honeycomb #awssummit #observability
Nishi Bhonsle at #O11yCon: "Telemetry is not an afterthought. It is part of your feature development." The line between writing code and understanding what it does in production is blurring fast. Engineers who aren't thinking about that convergence already have a gap to close. #honeycomb
@nathenharvey.bsky.social at #O11yCon: AI adoption is nearly universal. Outcomes vary wildly. AI is an amplifier. The goal is not more AI output. It's building an environment where that output can survive the trip to production without burning out the team. #honeycomb #dora #ai
AI agents are transforming software development—teams now mean humans and agents side by side. Real collaboration needs more than markdown: charts, graphs, interactive surfaces. Honeycomb’s updated Canvas, built on @tldraw.com delivers exactly that. #honeycomb #tldraw #observability #ai #canvas
Day 1 of O11yCon is a wrap. 🎉 Five workshops, three and a half hours, a room full of engineers who came to actually learn something. Thanks to Embrace, Focused Labs, AWS, Cribl, and Liatrio for making it happen. Day 2 tomorrow. Main stage. See you there. #o11ycon #honeycomb
We believe frontend observability belongs in the same practice as everything else. Today, we're announcing a partnership with @embrace.io so teams get user context from mobile & web in Honeycomb, and powerful, purpose-built RUM in Embrace. bit.ly/48XZBaJ #innovationweek #honeycomb #embrace
Day 2 of Innovation Week is on demand now. Agent Timeline. Canvas. Canvas Agent & Skills. All the details, with real scenarios. Watch → go.hny.co/4clLpug Day 3 tomorrow. Worth showing up for.
Today, Honeycomb is excited to announce: ✅ Agent Timeline: trace every LLM call, tool invocation, and agent handoff as a single view ✅ Canvas: supercharge your team's investigations with an autonomous workspace and expert-encoded playbooks #Observability for the agent era: bit.ly/4wwlzMf
AI agents can investigate production systems fast, but humans still play a critical role in reasoning through incidents. At #O11yCon, Bryan Mills shares how Duolingo combines AI agents with humans in the loop to improve incident investigations. Register here 👉 buff.ly/o31X0j6
Logs scale faster than understanding. The OpenTelemetry Collector’s drain processor helps cut through log noise by grouping repetitive patterns automatically, making it easier to spot what actually matters at scale. Read more 👉 buff.ly/P9AdWjo
More code is shipping faster than ever, and much of it wasn’t written by a human. That changes how teams debug and build confidence in production systems. See what we’ve been building at Honeycomb Innovation Week. May 12-14 | 10am PT | Virtual Register 👉 buff.ly/osHO1re
AI changes how you investigate production systems. You’re guiding an investigation, not just writing queries. This Honeycomb Academy course shows how to use MCP to ask better questions, structure investigations, and validate your findings. Learn more 👉 buff.ly/f9oY6hS #honeycomb #AI #LLMs
The engineers who built the category are taking the stage. Innovation Week opens with Christine Yen and Charity Majors, alongside teams already running AI agents in production. May 12, 10 a.m. PT. One week out. Register 👉 buff.ly/osHO1re
AI in observability is getting closer to something real. You can see it. You can use it. But it’s not fully there yet. Austin Parker explores what’s working, what’s missing, and what it will take to close the gap. Read more 👉 buff.ly/iv3PkCK
OpenTelemetry semantic conventions evolve, but systems don’t update in sync. During migrations, telemetry gets fragmented across old and new formats. This blog explores how the OpenTelemetry Collector can normalize data in flight to keep observability consistent through change 👉 buff.ly/QdRVK4s
AI systems fail in ways that are hard to see. If you can’t trace what your agent is doing step by step, improving it becomes guesswork. Fast feedback loops come from visibility: Instrument with OpenTelemetry → trace behavior → iterate faster. Read more 👉 buff.ly/afUqAU5
AI is changing how we debug production. At #O11yCon, Rob Miles (Head of Observability at Stripe) is sharing what it actually looks like to build an AI agent that investigates incidents in real time. What works, what doesn’t, and what teams should know before building their own. 👉 buff.ly/KOBRNNx
That’s a wrap on AWS Summit London 🇬🇧 AI is reshaping how teams build and run in the cloud, and that showed up in every conversation. Great chats at our booth around real production complexity and how to make sense of it faster. More to come 👉 buff.ly/r1S1e8Z
Production issues don’t stay in one place. They move across services and show up as disconnected signals—hard to piece together fast. The advantage is being able to follow one path through the system, see where it breaks, and why. That’s single-thread visibility 👉 buff.ly/EbnUxIX
ICYMI: When AI writes most of your code, how do you figure out if it’s worth running? The fundamentals haven’t changed: Fast feedback loops Context-rich data Production validation Cost awareness Read more 👉 buff.ly/pcMGnnA
We're doing something new. Innovation Week: Observability for the Agent Era. A 3-day virtual event, May 12-14, 10 a.m. PT. Christine and Charity on stage. New products. Real customers. The agent observability conversation that needs to happen. Register 👉 buff.ly/q8uoM0B
Tomorrow’s the day! We’re heading to AWS Summit London at ExCeL—stop by booth G5 for AI-native observability in action, and don’t miss Colin Burke’s session with Romain Blanc (Intercom). Come say hi, grab a demo 👋 Schedule time 👉 buff.ly/LOiwuni