Honeycomb
@honeycomb.io
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Honeycomb is the observability platform that enables engineering teams to find and solve problems they couldn't before.
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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.
honeycomb.io
AI is transforming open source, helping analyze code, suggest fixes, and speed up PRs. But faster isn’t always better.

Used carelessly, AI can overwhelm maintainers and erode trust. Learn how to contribute responsibly: buff.ly/H6oi4cy
honeycomb.io
Day 1 of SREcon EMEA 2025 is off to a great start!

Martin Thwaites, Ian Healy, and Colin Burke are at the Honeycomb booth chatting about observability, reliability, and AI-assisted debugging. Stop by for a live demo and enter to win a Smart Robot Car Kit for Arduino! 🤖

Visit us 👉 buff.ly/t84IY7Y
honeycomb.io
Users expect fast, seamless apps. No crashes, no lag.

Honeycomb for Frontend Observability now supports React Native (in beta), giving you full visibility from tap to backend so you can fix issues faster and improve app performance.

👉 Learn more: buff.ly/Xqty2Cl

#HoneycombTelemetryPipeline
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Got JMX data from your Java apps? Learn how to pull it into OpenTelemetry and make it part of your observability stack 👉 buff.ly/HkbRpWu

#honeycomb #observability
honeycomb.io
We can’t wait for SREcon EMEA, October 7-9! 🎉

Stop by Booth #20 to meet the Honeycomb team, see how we’re transforming observability, and enter our raffle for a Smart Robot Car Kit for Arduino.

Come say hi and see how Honeycomb helps you understand your systems faster 👉https://buff.ly/t84IY7Y
honeycomb.io
Incidents are getting more complex, and AI is part of the story. How do we make it a partner, not just a tool?

Join Jessica Kerr, Fred Hebert, and Courtney Nash (The VOID) for a live webinar tomorrow on building resilient human AI teams.

Register now: buff.ly/wYiC3i9

#HoneycombIntelligence
honeycomb.io
Oct. 9 at AWS Crystal City HQ: Join Honeycomb’s Pierre Terrier for a lunch & learn on why observability is key for scaling GenAI and agentic workloads.

Don’t miss this chance to explore the future of AI. 👉 buff.ly/avI8KeT
honeycomb.io
@charity.wtf speaks at SREcon on Oct 7: "No Capes Required: Enabling 1x Engineers to Do Their Best Work." ✨

She’ll share why the best orgs empower every engineer to ship code and drive impact through strong sociotechnical systems.
honeycomb.io
We can't wait for LeadDev NY on Oct. 15-16! 🎉

Visit Booth #11 for Honeycomb demos and enter to win Sony WH-1000XM6 headphones 🎧

Book time with our team here 👉 buff.ly/O5rPAnE

#honeycomb #LeadDevNewYork
honeycomb.io
@lizthegrey.com is speaking at SREcon25!

Her session, "Making Reproducible Builds Faster with Docker Bake," will show how we cut build times in half while improving reproducibility and provenance. Don't miss it!
honeycomb.io
React Hooks can be tricky, but AI can help!

See how ChatGPT can help you turn debugging into a learning opportunity.

👉 Read more: buff.ly/Go8DK3H
honeycomb.io
The Humans, Observability, & AI: Building Teams That Learn Together Webinar with Jessica Kerr, Fred Hebert, and Courtney Nash is now on October 7.

They will explore how AI can enhance resilience in incident response and observability, while maintaining human oversight.

👉 Register: buff.ly/hngxRVx
honeycomb.io
Keep following along as we share more about how AI and observability are coming together to help engineering teams work smarter: buff.ly/FTwEiJA

#HoneycombIntelligence #honeycomb #observability #AI
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- AI is the interface, but the datastore is the real magic
- We see promise in AIOps tools, but without overhyping

Thank you to everyone who joined the conversation. 🤩
honeycomb.io
💡 Key themes that stood out:

- Telemetry quality directly shapes AI effectiveness
- Instrumentation makes AI reliable and useful
- Canvas helps engineers parallelize debugging
- Honeycomb Intelligence uncovers insights you didn’t know to look for
honeycomb.io
From the impact of telemetry quality, to using Canvas to debug Canvas, to how our datastore powers AI in ways other observability tools cannot, the discussions highlighted how we’re approaching AI differently.
honeycomb.io
That’s a wrap on our AI Team Ask Me Anything. 👏

Over the past few days, Morgante, Martin, Jamie, Purvi, and Talor shared their perspectives on building Honeycomb Intelligence and answered your questions.
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Learn from the skilled members of your team what interesting questions they are asking. Then dive in and ask your own!

- Martin Holman, Staff Software Engineer

#HoneycombIntelligence #honeycomb #AI #observability
honeycomb.io
We also encourage sharing your Canvas conversations with team members by unfurling Canvas links when they are shared in Slack.

The best way to level up your team is to share skills and knowledge. Canvas makes this easy by encouraging the sharing of conversations.
honeycomb.io
With Canvas, we have continued this collaborative tradition. When looking at your previous Canvas conversations in Honeycomb, you will also see your teammates' Canvas conversations that will allow you to learn how your other team members are asking questions and guiding the Canvas investigations.
honeycomb.io
Prior to the Canvas feature release, when you are using the query builder and exploring your data, all of your team members' queries are available to you in the sidebar. This can really help you see what others are querying and how they are running subsequent queries to refine their search.
honeycomb.io
Observability can feel daunting when you don’t yet know what “good questions” look like. Honeycomb has always been about the collaborative nature of problem-solving.
honeycomb.io
For our last question, I want to highlight a great question from Wesley Faulkner: “Honeycomb can help with getting the right answers, but how do you educate users to find the right questions?”