honeycomb.io’s cover photo
honeycomb.io

honeycomb.io

Software Development

San Francisco, CA 21,996 followers

Honeycomb is the observability platform that enables engineering teams to find and solve problems they couldn’t before.

About us

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.

Website
https://www.honeycomb.io
Industry
Software Development
Company size
201-500 employees
Headquarters
San Francisco, CA
Type
Privately Held
Founded
2016
Specialties
devops, site reliability engineering, observability, microservices, logging, distributed systems, debugging, high-cardinality, and instrumentation

Locations

  • Primary

    944 Market Street

    6th Floor

    San Francisco, CA 94102, US

    Get directions

Employees at honeycomb.io

Updates

  • 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

  • View organization page for honeycomb.io

    21,996 followers

    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 #o11yDaySF

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  • 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

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  • 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

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  • AI agents are transforming software development but without observability, production applications risk instability, security flaws and inefficiency. On August 14 at 10AM PT / 1PM ET, join Austin Parker, Morgante ⚡ Pell and James Bland for Honeycomb MCP: Your AI Agent’s New Superpower—a live session on how Hosted MCP brings real-time visibility to Claude, Copilot, Cursor, and more, right inside your development environment. Learn the advantages of using Honeycomb Hosted MCP through the new AWS Marketplace for AI Agents and Tools—and how it simplifies setup, eliminates API key headaches, and unlocks powerful debugging and optimization workflows. Register here: https://lnkd.in/gmNg5SKF

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  • Excited for Jessica Kerr to be speaking at Big Agile 2025! Her session, “Observability: Coding With Our Eyes Open”, explores how running software—and now AI agents—can become active teammates in your dev workflow. Tomorrow, July 29th at 2pm — don’t miss it!

    View profile for Jessica Kerr

    @jessitron Coder, blogger, speaker, whatever. DevRel at Honeycomb.io. Figuring out how to make software faster and safer with AI.

    If you're going to Agile 2025, look for me; I'm talking about "Observability: Coding With Our Eyes Open" (Tuesday 2pm) It's about making the running software part of your team, getting it to tell you what's going on, so you can make better development decisions. Add AI to the software, and you need this more than ever, because there is no predicting what you get. Add an AI coding agent, and now you have a whole new teammate. The sociotechnical system is now human+software+agent -- how do we all work together to make life better for our customers and ourselves?

  • Our favorite part of Honeycomb Observability Day? Sessions where our customers speak about how observability has changed the way they think about software development and the customer experience. They tell us it’s not just a tool, it’s a full culture shift. At Observability Day London, we heard from Oli Lane and Julian Wreford from Gearset about implementing an observability practice within their engineering org and some lessons learned along the way. In Oli’s words: “It’s really easy to get tunnel vision when you’re down in the trenches, to focus on the root cause and fixing the incident at the exclusion of everything else. But at the end of the day, our goal is to make sure the customer gets the best experience possible.” Interested to learn more? Watch a short clip of that session below, and come join us for our next Observability Day in San Francisco on September 11th. Register here: https://lnkd.in/dGv6mCba 

  • AWS Summit NYC 2025 made one thing clear: we’re at an inflection point. From the launch of Amazon Bedrock AgentCore to the evolving workflows powered by Claude Code and Honeycomb MCP, it’s obvious that Agentic AI isn’t just hype—it’s the new baseline. AgentCore is more than a service drop—it’s a platform shift: - Long-running, isolated task execution - Seamless integration with your codebase and development workflows - Observability built in from day one What stood out most weren’t just the announcements, but how far these ideas have already come in production: - Thomson Reuters running seven platform migrations simultaneously with AWS Transform - Honeycomb MCP enabling agents to correlate trace data and code in real time - Claude Code evolving from assistant to full-on development collaborator The future of software development isn’t just better tooling—it’s intelligent systems that understand, iterate, and reason about code at scale. 📖 Full recap → https://lnkd.in/dWtpaEvD

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  • If you're coding with an AI assistant, we've got the observability solution for you. The Honeycomb MCP server lets you rapidly debug issues right from your AI agent, empowering it to: ✅ Surface anomalies ✅ Recommend next steps ✅ Reduce the manual toil of exploring complex systems By integrating observability right into your coding workflow, Honeycomb MCP helps your AI assistant make faster, smarter decisions. 🔗 Learn more: https://lnkd.in/gGNzPZu6

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Funding

honeycomb.io 7 total rounds

Last Round

Series D

US$ 50.0M

See more info on crunchbase