Honeycomb now supports Categorical Bar Charts—a quick, clear way to view grouped, non-time-based data like error types or status codes. Available across query results, boards, query history, and correlations. Check it out! https://lnkd.in/eDRQjMkN #Observability #Honeycombio #NewFeature
honeycomb.io
软件开发
San Francisco，CA 20,122 位关注者
Honeycomb is the observability platform that enables engineering teams to find and solve problems they couldn’t before.
关于我们
Honeycomb is the observability platform that enables engineering teams to find and solve problems they couldn't before. Honeycomb’s approach is fundamentally different from other tools that claim observability, and is built to help teams answer novel questions about their ever-evolving cloud applications. Other tools silo your data across disjointed pillars (logs, metrics, and traces), are too slow, and constrain teams to only answer predetermined questions. Honeycomb unifies all data sources in a single type, returning queries in seconds – not minutes – and revealing critical issues that logs and metrics alone can’t see. Using the power of distributed tracing and a query engine designed for highly-contextual telemetry data, Honeycomb reveals both why a problem is happening and who specifically is impacted. Every interface is interactive, enabling any engineer – no matter how tenured – to ask questions on the fly, drill down by any dimension and solve issues before customers notice. Powered by machine learning, BubbleUp enables you to quickly spot outliers that reveal the cause of hidden issues. Engineering teams can deploy confidently, resolve incidents faster and focus on high-value work that drives innovation.
- 网站
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https://www.honeycomb.io
honeycomb.io的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- San Francisco，CA
- 类型
- 私人持股
- 创立
- 2016
- 领域
- devops、site reliability engineering、observability、microservices、logging、distributed systems、debugging、high-cardinality和instrumentation
地点
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主要
获取路线
944 Market Street
6th Floor
US，CA，San Francisco，94102
honeycomb.io员工
动态
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Melbourne brought the 🔥 Now it’s London’s turn! Get ready for a full day of real-world observability insights from the experts who are building what’s next. 📅 15 May | Keynotes, demos, and hands-on sessions—zero fluff. Don’t wait. Register today → https://lnkd.in/edJZC-G8
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🔍 Is Your Observability Strategy Future-Proof? 🔍 Traditional APM tools can be costly and limit your team's ability to troubleshoot effectively. Join us for a webinar featuring Prove and Procore Technologies as they share their journey to modern observability with Honeycomb and enable your teams to: - Run real-time, span-level queries with full context - Investigate freely with no seat limits or hidden fees - Debug faster with BubbleUp and contextual alerts - Truly understand system behavior, not just react to issues Webinar: When APM Legacy Tools Fall Short: How Prove & Procore Rethought Modern Observability 📅 Date: April 30th 🕒 Time: 10am PT | 1pm ET | 6pm BST 📍 Register now: https://lnkd.in/gjgh_GQZ #ModernObservability #DevOps #Webinar
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Grateful for our collaboration with Multitudes: together we were able to speed up alert reporting by 10x, create more transparency around on-call metrics, and live up to our commitment to a healthy on-call culture for our engineering team.
When PagerDuty changed their data export functionality, honeycomb.io faced a challenge: How could they maintain their mission-critical reporting on the human impact of on-call alerts? The answer? Co-designing new features with Multitudes that delivered impressive results: ✅ Alert reporting completed 10x faster (from 5 hours to just 30 minutes!) ✅ Greater transparency of on-call metrics across the entire organization ✅ Fred – who had been manually running scripts for the reports – is now more free to take a holiday 🙌 In our latest Success Story, discover how honeycomb.io, an observability platform that helps engineering teams find and solve problems, partnered with Multitudes to live their values and get data to support a healthy on-call culture. “If our team wants to look at the on-call data on a weekly basis instead of a quarterly basis, it’s easy now.” - Fred Hebert, Staff Site Reliability Engineer Read the full case study here: https://lnkd.in/gk_MrTDX Thank you to Jess Mink, Fred Hebert, Steph Hippo, Ben Darfler, and Emily Nakashima from Honeycomb for sharing your feedback and this story with us! #DevOps #Engineering #HealthyOnCallCulture #DataInformedDecisions
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💸 “How much should we be spending on observability?” Spoiler: It’s still complicated. The good news? Charity Majors has some guidance. In Part 2 of her deep dive, Charity explores what’s really driving observability costs—and what you can actually do to control them. From business pressures to technical realities (hello, cardinality and dimensionality), she unpacks the real levers at your disposal. 🔍 Whether you’re navigating the multiple pillars model or diving into observability 2.0, this one’s for you. 👉 Read the post: https://lnkd.in/e3qxyJPT #Observability #DevOps #EngineeringExcellence
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honeycomb.io转发了
Great chat with Yassine Kachchani talking about how we interview and hire at Honeycomb, how many employees feel about AI, and more.
I talk to eng. leaders & share what I learned on talent, leadership, and culture | Co-founder & CEO at Gemography
Internal promotions > external hires. It’s easy to default to external hires when you need experience fast. But experience without context? That’s how companies end up with smart people making bad decisions. Emily Nakashima, VP of Engineering at honeycomb.io, didn't join as VP, she came in as a software engineer. By the time Emily stepped into executive leadership, she already knew the product, the team, and how decisions really land inside the org. That kind of context is hard to beat. In our conversation, Emily Nakashima breaks down why growing leaders from within is more of a strategic advantage than a feel-good story. Emily also shares: - Why Honeycomb is keeping coding challenges in hiring when the industry is dropping them - How her teams define “adequate” delivery - Her take on what most companies get wrong about AI adoption Read the full interview and subscribe 👇
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Big congrats to our CEO Christine Yen who has been named BigDATAwire's 2025 People to Watch! This tenth anniversary list honors innovators transforming the future of data and AI. "We’re fully embracing GenAI at Honeycomb with both arms and possibly both feet. We’re really curious about building with these new technologies. We pride ourselves on sharing what we learn as we incorporate them into our work. You can expect the same trusted, grounded, and optimistic perspective we use to discuss other technological issues." #BigDATAwire #AIobservability https://lnkd.in/gZ4kiRnp
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What is observability—and why is it essential for modern software teams? In under 10 minutes, Charity Majors breaks it all down: ✅ Observability vs. monitoring ✅ Why traditional tools fall short ✅ How telemetry helps you solve complex problems This video is part of the free Observability Foundations course at academy.honeycomb.io. https://lnkd.in/ebB8S-qr
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How much should you be spending on observability? Back in 2018, Charity Majors guessed 20–30% of your infra bill. That number somehow became gospel—and it's long overdue for a refresh. In this post, she revisits that rule of thumb (it’s closer to 15–25% now), unpacks when observability is an investment vs. a cost, and explores why this “cost crisis” might be the best thing to happen to developer tools in a decade. 📖 Read: https://lnkd.in/eFXg3AQE Part 2 drops next week—get ready for practical cost-control tactics. #Observability #DevOps #ObservabilityCosts
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🚀 New in Honeycomb: custom calculations in queries! It’s fast. It’s flexible. It’s live now. 🎬 Check out how it works 👇 #FeatureRelease #ObservabilityTools #DevExperience