Observability Engineering second edition out now! 27 net-new chapters written for today's observability challenges.Get your copy

Observability built
for the AI era

Engineering teams use Honeycomb to follow their code into production. From tracing distributed services to debugging non-deterministic AI workflows, Honeycomb gives humans and agents a shared view of the only thing that matters: what's happening for their end users.

Trusted by innovators and enterprises worldwide

  • Slack
  • Intercom
  • Dropbox
  • Booking.com
  • Heroku
  • duolingo
  • Hello Fresh
  • jack henry
  • Slack
  • Intercom
  • Dropbox
  • Booking.com
  • Heroku
  • duolingo
  • Hello Fresh
  • jack henry

Solutions for every team

We created Honeycomb to solve the problems legacy monitoring couldn't address. Explore the ways Honeycomb can work for you.

Get granular insight into how your LLMs behave in production, troubleshoot failures faster, and continuously improve model performance—all in real-time with real data.

Get a Demo

LLM Observability

What Honeycomb helps you do

The future of software is nondeterministic. Your business can’t be. Understanding production has never been more critical.

See everything

Get complete visibility with data available in under 90 seconds. Explore dynamic visualizations with limitless insights and no dead-ends. With Honeycomb, engineers and AI agents always have the context they need to easily solve problems.

Solve anything

Resolve any issue before they impact customers. Run sub-10 second queries with your AI agent. Perform root cause analysis in under three minutes with BubbleUp. Honeycomb makes every engineer an expert and every investigation instant.

Scale infinitely

Stop making tradeoffs between observability cost and software quality. With Honeycomb’s OpenTelemetry-native platform, you can add unlimited fields and unlimited users at no extra cost, with no vendor lock-in. Honeycomb is ready for whatever comes next in your tech stack.

Thanks to Honeycomb, SLO-based monitoring has proven superior for LLM reliability than traditional metrics. Given AI’s unpredictable nature, SLOs help us catch and investigate anomalies without triggering a flood of noisy alerts.

Kesha Mykhailov
Staff Engineer, Intercom, on Fin AI
View Case Study
Kesha Mykhailov
O'Reilly Book

The second edition is here! Get your copy today

AI is changing the nature of software development. Observability is how you navigate this shift. Charity Majors, Liz Fong-Jones, George Miranda, and Austin Parker explain the core principles of observability and how to leverage it for your organization.


  • Download your free copy of the book
  • Get a preview of what you’ll learn
  • Get access to 27 new chapters in over 600 pages

Keep learning...

Ready to get started?