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Christine Yen filmed a segment with SiliconANGLE & theCUBE as part of their AWS re:Invent ecosystem coverage to talk about how Honeycomb is helping teams navigate growing system complexity with clarity and confidence. She digs into AI-powered observability, what engineers need today, and how teams can move faster without sacrificing reliability. Watch the full conversation 👉 https://lnkd.in/gMJqk-Zx #honeycomb #AWSReInvent #observability #AI #HoneycombIntelligence

What a great read from SiliconANGLE & theCUBE e Mark Albertson on how Kubernetes is driving the next wave of enterprise AI. As systems get more distributed, observability becomes essential. If you’re running AI workloads, the right tools can be the difference between chasing issues and staying ahead of them. Glad to see Honeycomb recognized among the companies pushing observability forward as AI scales. 🤩 Read more 👉 https://lnkd.in/d6YGGDhC #honeycomb #Kubernetes #CloudNative #AI #Observability

This piece from Informa TechTarget’s George Lawton highlights something we’ve believed at Honeycomb for a long time: modern observability isn’t just a tool, it’s a strategic advantage. It’s not only about knowing what happened, but understanding why it happened. That context is what helps teams improve reliability, deliver better customer experiences, and make smarter decisions as systems grow more complex. 🔗 Check out the full article on real-world cloud observability in action: https://lnkd.in/gqaiKKkf #honeycomb #Observability #CloudNative #DevOps #SRE #EngineeringLeadership

Say goodbye to manual troubleshooting! Michael Sickles explains a bit on how to use Honeycomb Canvas. He dives into how AI can analyze your data, dig into traces, and pinpoint slow transactions automatically so your team can spend less time chasing issues and more time building reliable systems. Learn more 👉 https://lnkd.in/gK_YiRtx #honeycomb #observability #HoneycombIntelligence #AI

There was such an amazing turnout at our last book signing that we decided to do it again at AWS re:Invent! 📖 🤗 Make sure you stop by Booth 1378 on Wednesday, December 3, at 12:30 p.m. PT. This is your chance to connect, chat about observability, and grab a signed copy of Charity Majors' book, Observability Engineering. If you can't make it, you can get a digital copy here 👉 https://lnkd.in/gihJ9FMs #honeycomb #AWSReInvent #observability

Observability shouldn’t be just a cost; it should be an investment. Join our webinar on December 10 at 9 a.m. PT / 12 p.m. ET featuring Charity Majors (Honeycomb) and James Governor (RedMonk), where we’ll show engineering leaders how to tie observability budgets to business value, optimize telemetry stacks, and deliver faster outcomes with smarter spend. Register here 👉 https://lnkd.in/gt5d7_vp #honeycomb #observability

AWS re:Invent is right around the corner, and we can’t wait to share what we’ve been up to! 🤩 Ken Rimple and Shabih Syed are giving you a sneak peek at what Honeycomb will be sharing in Vegas: fresh insights, hands-on learning, and how AI-powered observability is helping teams. Be sure to stop by Booth 1378 to hear all about it. Here are all the ways you can connect with us at #AWSReInvent 👉 https://lnkd.in/gd4qc-p8 #honeycomb #observability #HoneycombIntelligence #AI

AI “wants” to reason, and if you let it, it might surprise you. 💭 In this post, we explore how large language models (LLMs) naturally follow their own reasoning grooves, and why over-constraining your prompts can limit synthesis and creativity. Find out how to work with the model’s reasoning instead of against it. Read the full blog 👉 https://lnkd.in/gbMazWcj #honeycomb #HoneycombIntelligence #AI #LLMs

Last year, we announced Honeycomb Telemetry Pipeline to help customers manage their streams of telemetry data. This July, we announced ✨ Enhance ✨, a seamless experience that closes the loop between managing data and getting answers from it, delivering an observability experience without tradeoffs between data fidelity and cost. Now: even more improvements to this virtuous cycle. Enhance ✨ has just gotten smarter and faster about how we fetch your data, Pipeline Health 🩺 gives you visibility into how your data is flowing (by data volume or destination), and Refinery 3.0 🏭 delivers our standout tail-sampling solution with hugely improved efficiency gains. Read more here: https://lnkd.in/gRCMDj65

Canvas is officially GA! Honeycomb’s AI-powered observability workspace lets teams transform raw telemetry into clear and actionable insights. Explore data with natural language queries, uncover anomalies, and collaborate in real time, all within your Honeycomb workflow. GA updates include smarter dataset mentions and background agents that triage alerts before you’re paged. Start exploring with Canvas today 👉 https://lnkd.in/geRh95VV #honeycomb #observability #HoneycombIntelligence #AI