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

SRE relationships don’t fail all at once. They drift. At #O11yCon, Will Hegedus (Senior Manager SRE at Akamai) breaks down why engagement models stop working and how to fix them before trust erodes. Register now 👉 buff.ly/KOBRNNx

We've been building something. You'll see it first at Innovation Week. New capabilities & live demos. May 12–14, 10 a.m. PT, fully virtual. 👀 Be first 👉 buff.ly/q8uoM0B #honeycomb #observability #AI

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

What if you could cut observability overhead without changing your code? Keep the OpenTelemetry API, swap the SDK → lower CPU + memory. Read more 👉 buff.ly/jo2EAFp

Fast, deep, ready—that’s been the foundation of observability. As systems grow more complex and change speeds up, the real question is what comes next—and how teams evolve to keep up. Read more 👉 buff.ly/WbZZ1Em

We’re excited for all our speakers at #O11yCon, May 20–21! Jody Bailey (Stack Overflow) will explore how AI agents are changing how we think about organizational knowledge in production—and why gaps in context are becoming real risks. Don’t miss it 👉 buff.ly/2FQ3IWX

We recently hosted a webinar with Austin Parker and Akshay (Augment Code), and you all brought some great questions—more than we could answer live. We followed up with a blog covering topics like trust, drift, and production feedback for AI agents. Read more 👉 buff.ly/2zSTpKP

AI agents are starting to work directly with production data, investigating issues, following traces, and surfacing what’s happening in real systems. This post explores how MCP and Canvas support that workflow by connecting context and action. Read more 👉 buff.ly/zX7nqF1

#O11yCon 2026 is coming. May 20-21, San Francisco. 🐝 AI agents are running in production. Can you actually see what they’re doing? 2 days of workshops + sessions with speakers from Google, Stripe, GitHub & more. Early bird tickets are $99 until April 28. More 👉 buff.ly/N89JR5k

If you’re attending AWS Summit London, be sure to stop by Colin Burke and Romain Blanc’s session! Learn how Honeycomb + Intercom introduced a customer‑centric “time to first token” metric, rebuilt distributed tracing, and used SLOs to cut latency by 60% while 20 teams ship ~100 changes/day.

Uncertainty and change are the default in modern software. As systems grow more complex (and AI speeds things up), rigid plans don’t hold. Success comes from fast feedback loops, learning, and iteration. Read more 👉 buff.ly/L2M34c2

The rules of production are changing. AI is introducing a new kind of complexity—one traditional observability wasn’t built for. The teams navigating it best are writing the playbook. #O11yCon is where they share what’s actually working in the agent era. See you there. 👉 buff.ly/b87YwuM

We’re entering the agent era, and software is changing fast. AI agents mean more complexity and new failure modes. The challenge now? Understanding what’s happening in production. Learn more 👉 buff.ly/TkiM9QT Plus, you’ll find demo videos from Ken Rimple to see it all in action.

AI is changing software in unexpected ways. In this episode of O11yCast, Bryan Cantrill, Charity Majors, and Ken Rimple dive into: -Why software is the “killer app” for AI -Lessons from open source & observability -How AI lowers build costs but still needs human insight Listen 👉 buff.ly/cGG5Qrd

Heading to AWS Summit London? 🚀 Colin Burke & Romain Blanc (Intercom) show how Intercom + Honeycomb tackle AI system challenges. Stop by Booth G5 to see observability in action! Learn more 👉 buff.ly/h3ysw0s

As systems scale, debugging gets harder, and costs rise. Scribe reduced time to resolution and cut costs by focusing on high-value telemetry, not noise. Better visibility shouldn’t cost more. Read 👉 buff.ly/n64Itqe

AI is accelerating software delivery—but does that create advantage or chaos? The teams winning aren’t just shipping faster. They’re learning faster. Observability is how. That’s what the Leadership Track at #O11yCon is all about. May 20–21, San Francisco 👉 buff.ly/wwblC7E

Adopting observability is one thing. Championing it across your org is another. This is the story of how one engineer did both and why that journey ultimately led him to Honeycomb. Read more 👉 buff.ly/i7hXbOr

Software systems are complex, and AI is only making it harder to understand what's happening in production. The Director’s Guide to Observability offers insights on moving beyond surface-level signals to real system understanding—from OpenTelemetry to AI-driven development 👉

From instrumentation to incident response, Austin Parker shows how Honeycomb’s Agent Skills help AI assistants migrate to OpenTelemetry, instrument code, and investigate issues. Reusable, open source workflows. Read more 👉 buff.ly/5UlRb0e #honeycomb #observability #AI

KubeCon + CloudNativeCon EU 2026 made one thing clear: AI is changing how we build and run software, and observability has to evolve with it. From LLM SLIs to fast feedback loops, the teams that win are the ones who can understand their systems. Read more 👉 buff.ly/HKOATtC

AI agents are writing code, triaging incidents, and deploying infra fast, but most teams can’t see what they’re doing or why. Observability wasn’t built for reasoning loops. We’re digging into this at #O11yCon, May 20–21 in SF Get early bird tickets for $99 (limited) 👉 buff.ly/wwblC7E

From constant firefighting → real confidence in production. Homeaglow used observability to connect the dots, debug faster, and understand their systems. Results: • 0 incidents for 12+ months • 40x faster performance • Hours → minutes Less guessing. More building. Read more 👉 buff.ly/3Qh8meR

Modern systems are too complex for any one person to understand fully. The real advantage? Teams that bring different perspectives, experiences, and ways of thinking to the table. Cognitive diversity isn’t just nice to have; it’s how you make sense of complex systems. Read more 👉 buff.ly/Vc1rO7Y

Early bird tickets for O11yCon are $99 ($100 off) and are limited. May 20-21, San Francisco. Two days of talks + workshops on what’s next in observability. Speakers include Christine Yen, Charity Majors, Austin Parker + more. Register 👉 buff.ly/wwblC7E

In tomorrow's webinar (April 1), Austin Parker and Akshay Utture (Augment Code) will break down how teams are using production telemetry to understand behavior, debug issues, and create feedback loops that help AI-generated code get better over time. Save your spot 👉 buff.ly/8OSHLVc

The scariest problems in production are the ones you can’t explain. Charity Majors discusses the power of context and shares how Homeaglow used Honeycomb to connect the dots and get answers faster. Observability isn’t just seeing problems; it’s understanding them. Read more 👉 buff.ly/iAHTN3I

KubeCon + CloudNativeCon Europe 2026 is a wrap! Great convos, packed sessions, and so many good ideas this week. Thanks to everyone who stopped by and shared time with us 🙌 See what’s next 👉 buff.ly/r3p0qQR

Jessica Kerr (Jessitron) on building dashboards you actually need. AI agents + Honeycomb MCP can generate custom boards in minutes—using your code and real telemetry. No more one-size-fits-all views. Learn more 👉 buff.ly/5s47ju6

When something breaks, do you know what to ask next? Honeycomb CEO Christine Yen is hosting a roundtable at HumaxX on April 8 on using observability + telemetry to investigate incidents faster. AI SRE practitioners especially welcome 👉

Austin Parker on the reality of AI-driven development in our recent webinar with DORA: "Change is happening faster than teams can keep up. So we throw more AI at it, but what are we losing as humans in the process?" Catch the full conversation with Austin Parker and Ben Good here 👉 buff.ly/nYzTkQo

It's Day 3 at KubeCon + CloudNativeCon! We’re wrapping things up with our final sessions today featuring Nick Travaglini and Tyler Helmuth, don't miss them! We’ll also be announcing our giveaway winner at 13:00 CET. If you entered, make sure you’re at booth 985 to claim your prize! 🎉

Most AI tools give you an answer and ask you to trust it. Honeycomb Slackbot shows you the reasoning—right in Slack, in plain English, with the data behind every response. Ask what's broken, see how it got there, fix the thing. 🐝 Read how it works: buff.ly/gzfgIq9

Day 1 at KubeCon + CloudNativeCon was filled with great sessions from Wolfgang, Jamie & a fun Spec-tacular Game Show V2 with Alex & Tyler. We are ready for Day 2! Stop by Booth 985 & catch today's sessions from Tyler Helmuth and Alex Boten. Full agenda 👉 buff.ly/J1FlGoD

What you should be looking for in an observability tool has changed. AI agents don't look at dashboards. They query iteratively, need answers fast, and depend on complete data. The old evaluation checklist doesn't cut it anymore. Here's what to look for instead 👉 buff.ly/VUewFOA

More AI-generated code. Faster shipping. More things breaking. The fix? Closing the feedback loop between dev and production. Join us April 1 with Austin Parker + Akshay Utture (Augment Code) to see how. Live demo + AMA. 🔗 buff.ly/fGoEJcZ

AI Bot Wars 2026 with Amazon Web Services 🤖 Autonomous Battleship bots, built with natural language prompts and tested in real time—showing how AI agents behave under pressure. Congrats to our winners, and thanks to everyone who built with us. Keep up with our events 👉 buff.ly/r3p0qQR

Where does rigor live in modern systems? In this new post, Charity Majors argues it’s not pre-prod, it’s production. As systems grow more complex, real understanding only comes from observing them in the wild. Read more 👉 buff.ly/lSjkWNd #honeycomb #observability #AI

We’ve spent years talking about “shifting left.” But what about shifting right? Production is the real source of truth, and metrics alone can’t tell the full story. Here’s why that shift matters 👉 buff.ly/QhNwxXm #honeycomb #metrics #observability

KubeCon + CloudNativeCon Europe 2026 (March 23-26) is almost here, and Honeycomb is showing up strong. Catch our team speaking on observability, AI-driven systems, and modern engineering. Stop by our booth 985 for demos, swag, and great conversations. See what we’ve got planned 👉 buff.ly/J1FlGoD

Most observability tools weren’t built for the AI era. More AI-generated code = more change and unpredictability. The question becomes how to evaluate whether your tools can keep up. Here’s how to evaluate observability tools 👉 buff.ly/VUewFOA #honeycomb #observability #AI

Honeycomb Metrics is now GA Time series + event-based observability together in one place. No more tradeoffs between cost and context. Explore what’s now possible with Honeycomb Metrics 👉 buff.ly/mI0pM2W