honeycomb.io

Generative AI isn’t just a writing tool—it’s a thinking partner. Honeycomb engineering leader Katie Leonard shares how she uses GenAI to make complex tasks like QBRs, weekly updates, and performance reviews more thoughtful and manageable—not by skipping steps, but by structuring reflection. By turning blank-page stress into conversational prompts, Katie shows how lightweight, purpose-driven GPTs can support engineering leaders in staying clear, consistent, and human-first. This isn’t about outsourcing your job to AI, it’s about working smarter with it. Read the full post: https://lnkd.in/gCTYqvVs #honeycomb

That’s a wrap on fintech_devcon! We had a blast connecting with builders tackling everything from developer tooling to AI-driven infra—and seeing so many of you crush our Observaquiz 🧠🎉 Huge thanks to everyone who stopped by the Honeycomb table. Whether you walked away with a prize or a new way of thinking about observability, we loved chatting with you. Stay up to date for future events here: https://lnkd.in/gfWQdRDu #honeycomb #observability

IDC released a new study analyzing Honeycomb’s business impact—and the results speak for themselves. Engineering and DevOps teams using Honeycomb report being 79% faster at identifying and remediating performance issues, and 77% faster at completing performance-related queries. Access IDC’s full study here: https://lnkd.in/esxjn3Hu #honeycomb #observability

One of the most powerful themes at Honeycomb Observability Day? Reimagining how AI will make observability more accessible—not just more advanced. At Observability Day London, Honeycomb Field CTO Liz Fong-Jones shared why that matters: “Honeycomb has always been not just about raising the ceiling for what the most experienced developers can do, but also raising the floor for what the least experienced developers can do.” She’ll expand on this vision in her keynote at Observability Day San Francisco on September 11—exploring how AI can help more people ask better questions, faster. Catch a clip from her London session below—and join us in SF to continue the conversation. 👉 Register here: https://lnkd.in/dGv6mCba #honeycomb #observability #o11yDaySFO

It's Day 1 of Fintech Devcon! Whether you’re here to deep dive into developer tooling, security, AI, or scaling infra, this is the place to connect with builders shaping the future of fintech. Swing by the Honeycomb booth to meet the team and take our Observaquiz for a fun prize! 🤩 Check out the agenda here: https://fintechdevcon.io/ #Honeycomb #observability

Great breakdown from Jessica Kerr on Cat Swetel’s Agile 2025 talk—real-world examples of how Nubank uses efficiency as a business model, not just a tech goal. We’re proud Honeycomb helps teams like theirs understand the full cost of a flow, not just a service. #Honeycomb

An unforgettable night at Fenway Park with Honeycomb! The O11y Experience brought tech leaders together for a relaxed, inspiring evening of observability conversations, new connections, and Red Sox energy. Thanks to everyone who joined us for a night of insight, community, and connection. Don't miss out, we have more events coming up! Click here to stay in the loop: https://lnkd.in/ghcSZZTv #Honeycomb #O11yExperience Boston #Observability

AI won’t save you from writing bad code. Quite the opposite: it’ll help you generate a greater quantity of lower quality code, faster than ever. At Observability Day San Francisco on September 11th at 5:00 p.m., Charity Majors and friends ask the real questions in a panel hosted by Austin Parker on the effects of AI on modern software development. - Can ChatGPT save us from writing documentation? - Can Claude stop us from using yet another leftpad library? - Can Cursor help us not write another React component? Come for the AI talk, stay for the Spicy Opinions™. Register today: https://lnkd.in/dGv6mCba #honeycomb #observability #o11yDaySFO

AI is changing how we write software—but it’s not changing what durable systems need. Charity Majors explores the growing divide between disposable code (cheap, fast, throwaway) and durable code (reliable, observable, built to last). AI is great at helping us generate prototypes, test ideas, and explore faster—but for production-grade systems, the real cost still lies in maintenance, reliability, and long-term trust. ✅ Fast feedback loops ✅ Strong observability ✅ Controlled rollouts These aren’t optional. They’re what make durable software possible—and Honeycomb helps teams build with confidence at every stage. Check out the full blog here: https://lnkd.in/g-aQ-bYM

Most application environments are complex. Observability is the key to managing this complexity. IDC's recent study explores how Honeycomb is helping engineering organizations stay nimble and responsive as complexity grows. Teams using Honeycomb identify 50% more bugs, have 45% fewer unplanned outages, and see a 42% boost in DevOps productivity. The report emphasizes how Honeycomb improves system monitoring, cross-organizational collaboration, and proactive problem-solving. Want to learn more? Get the full IDC study here: https://lnkd.in/esxjn3Hu