We help engineering teams deeply understand their own production systems through observability
Give all software engineering teams the observability they need to eliminate toil and delight their users.
Honeycomb was founded by a software engineer (a “dev”) and an infrastructure engineer (an “ops”). We were determined to build a world of software ownership, and saw observability as the shared understanding necessary to get there. What began as a sociotechnical problem has evolved into a sociotechnical solution, in which tool choice is simply the catalyst for improved processes and culture on engineering teams.
Our values are the “how” in how we work with our colleagues, engage with our community, and build observability software.
Fast and close to right is better than perfect
Take pride in your craft and ship relentlessly. Be like our storage engine: 99% right in milliseconds is better than 100% right in an hour. Code in production is worth two in canary.
We hire adults
Pay attention to your mind and body so you can give and get help. All of us wobble, and being transparent about that means we can support each other. Participate fully in collaboration, coaching and management. If any group of us were together in a car on a long road trip, there would be no need for a dividing line in the back seat to keep people from hitting each other.
Everything is an experiment
Don’t get attached to specific outcomes, as they can prevent you from moving forward. Construct your experiments with purpose, evaluate them with honesty, share your results, and iterate. Failure is a constant, it’s what we learn that matters.
Feedback is a muscle
Giving and receiving feedback is like strengthening a muscle. This is not a skill we are born with, or ever perfectly master; and nobody gets it right every single time. But we can all get better at it by practicing—pushing ourselves a little past our comfort zone, everyday.
Act with autonomy and ownership
Come curious. Focus on impact over output. Be generous with your ideas and use your judgment. Optimize for our collective success, not individual glory. Kill your darlings. Be bold, shake it up, don’t assume the way things are was on purpose. Do it with style.
Our customers know that observability is key to delivering software both quickly and reliably. Engineering teams become high-performing teams when armed with Honeycomb observability software.
We think equally about building Honeycomb the product, the business, and the company. We’re committed to building a software engineering company of which our people are proud to have been a part.
Observability is the future—and it’s up to us to take the lead and shape that future through observability software engineering. We believe in questioning the status quo and charting our own path. Perhaps you do, too.
We’re honored to be backed by investors who believe we’re the future of observability.
As well as Mike Krieger, Ilya Sukhar, Anamitra Banerji, Venkat Venkataramani, and a number of other angels.
Catch us at these upcoming events
Telemetry for Leaders: Enhancing Strategy with OpenTelemetry & Honeycomb
Join our webinar to explore how OpenTelemetry Collector and Honeycomb can solve your telemetry challenges. Learn how to enhance data analytics and application performance, turning operational pain points into opportunities for efficiency and insight. Discover how to excel in telemetry for impactful business outcomes.
Telemetry Excellence with the OpenTelemetry Collector and Honeycomb
Join our OpenTelemetry Collector workshop to enhance your telemetry skills. Ideal for developers and engineers, this session covers pipeline intricacies, processor optimization, scaling, and troubleshooting, aimed at boosting observability and data-driven analysis in the tech ecosystem.
Las Vegas, NV
AWS's support for OpenTelemetry (OTel) and AWS Distro for OpenTelemetry (ADOT) simplifies data collection from AWS applications. Learn to use tools like Amazon CloudWatch, Amazon Kinesis Data Streams, and OTel's tools on Amazon EKS and Lambda for efficient data handling and observability, along with best practices for data and schema management.