Honeycomb

San Francisco, CA, USA
2016
Jun 30, 2022   |  By Fahim Zaman
Are you overspending on monitoring and APM tools? Forrester’s Total Economic Impact analysis of Honeycomb identified significant ROI in customers using us to reduce spend on less efficient APM workflows. But this isn’t about budget reallocation to a newly branded set of similar but shinier tools.
Jun 29, 2022   |  By Charity Majors
Remember the old days where if you had an uptime of 99.9 you could be fairly confident everyone was having a good experience with your application? That’s not really how it works anymore. Modern, distributed systems are so complex they typically fail unpredictably, making it much harder to diagnose issues. Traditional monitoring grew out of those early days, allowing you to check the health of simpler systems.
Jun 28, 2022   |  By Ben Hartshorne
Honeycomb uses AWS Lambda as a core part of our query execution architecture; Lambda’s ability to quickly allocate lots of resources and charge us only for use is invaluable to keeping Honeycomb fast and affordable. Our total Lambda bill is easily accessible in the AWS Console, but how do we know which customers or application areas dominate this bill? How do we judge the cost of changes we make to our own software?
Jun 24, 2022   |  By Jessica Kerr
“It’s too expensive!” “Do we really need another tool?” “Our APM works just fine.” With strapped tech budgets and an abundance of tooling, it can be hard to justify a new expense—or something new for engineers to learn. Especially when they feel their current tool does the job adequately. But, does it?
Jun 22, 2022   |  By Martin Thwaites
Debugging application performance in Azure AppService is something that’s quite difficult using Azure’s built-in services (like Application Insights). Among some of the issues are visualizations, and the time it takes to be able to query data. In this post, we’ll walk through the steps to ingest HTTP Access Logs from Azure AppService into Honeycomb to provide for near real-time analysis Access Logs.
Jun 21, 2022   |  By Jessica Kerr
The software industry is moving toward teams that own the services they build. This concept encloses principles and possibilities from movements toward microservices, DevOps, Agile, and Project to Product. In these paradigms, a team of people delivers software that provides valued capabilities. These capabilities help customers get their work done, support business operations, or enable other software to do these.
Jun 17, 2022   |  By Liz Fong-Jones
At its core, observability is understanding the internal state of your systems based on the telemetry they output so you can effectively troubleshoot, debug, and tune performance. However, there’s a tendency to reduce observability to a collection of logs, metrics, and traces, which strips away much of the visibility you need to understand what’s going on.
Jun 16, 2022   |  By Liz Fong-Jones
I've never been on call before, and I'm not sure what to expect, or how I can best prepare for it. Will I need to upend my life just in case the pager goes off? And how should I best cope with getting paged? I've read Charity's piece on the opposite problem of wanting to stop being on call, but it didn't quite answer my question.
Jun 14, 2022   |  By Phillip Carter
I’m Phillip, a product manager here at Honeycomb. After eleven-ish months of working on our product, I totally understand observability, right? ...Kinda? Sorta? Maybe? I'm not sure—but, I have been sitting in this space long enough to be a little better than clueless. Here's my guide on the topic. I hope it helps, especially if you’re passionate about exploring alternative ways you or your team can manage today’s cloud-native applications.
Jun 10, 2022   |  By Christine Yen
Honeycomb ruffled the first of many feathers nearly seven years ago when we coined the term “observability” in talking about production code. Today, we get to celebrate a major victory in our push for the term to break free from its unsuitable parent category, Application Performance Monitoring (APM).
Apr 1, 2022   |  By Honeycomb
In this 3-minute video, you’ll see how Honeycomb’s actionable SLOs can help you get to the source of an issue faster. Using a real production SLO (latency per-event) as an example, we walk you through what exhaustion time alerts are and how to configure them, as well as how to use a heatmap to investigate and take action when things happen.
Apr 1, 2022   |  By Honeycomb
In this 3-minute video, you’ll learn how to use heatmaps to visualize a large number of events over different time buckets. This video also covers how you can combine heatmaps with Honeycomb’s BubbleUp feature to speed up your debugging workflow.
Apr 1, 2022   |  By Honeycomb
In this 3.5-minute video, we show you how to find all the details associated with your traces. You’ll also learn how you can navigate and customize the waterfall trace view in Honeycomb.
Dec 17, 2021   |  By Honeycomb
With Liz Fong Jones, Principal Developer Advocate at Honeycomb and Ryan Pedersen, Senior Solutions Engineer at CircleCI In this talk, you’ll learn how Honeycomb keeps its CircleCI workflow duration at about 10 minutes per build through parallelizing build steps, using native container builders per architecture, and tracing execution of the build to know where to optimize.
Dec 17, 2021   |  By Honeycomb
Danyel Fisher, User Data Expert at Honeycomb Honeycomb constantly ships new features to production, so it’s hard to keep up sometimes. In this session, we’ll look at recent highlights and the best new things you’ll want to know about and use.
Dec 17, 2021   |  By Honeycomb
With Brian Langbecker, Solution Architect at Honeycomb See how Honeycomb integrates distributed tracing into your debugging workflows, with no context switching required.
Dec 17, 2021   |  By Honeycomb
With David Pickavance, Senior Sales Engineer at Apollo GraphQL Learn how to use Honeycomb, Apollo Studio, and Open Telemetry to optimize GraphQL performance for a federated graph. See how to debug a federated GraphQL query across subgraphs and down to the database layer using Honeycomb.
Jul 12, 2021   |  By Honeycomb
The 2021 Observability Maturity Community Research report is the first year-over-year look at the observability landscape and how practices are evolving. And they are 3X more likely to deliver high customer satisfaction. Which practices make all the difference when it comes to advancing the impact of your observability practice? Honeycomb's VP of Engineering, Emily Nakashima leads a discussion with Redmonk Co-founder James Governor, Honeycomb CTO and Co-founder Charity Majors, and Eaze's Sr. Software Engineer, Joe Thackery.
Jun 22, 2021   |  By Honeycomb
presented at o11ycon+hnycon, June 9-10, 2021 Nora Jones, CEO @ Jeli, Charity Majors, CTO & Co-founder@ Honeycomb o11ycon Keynote Nora Jones and Charity Majors will share their experiences leading major movements shaping the future of shipping software. Nora Jones is CEO of Jeli, and former engineer at Netflix and Slack will share her research and experience with Chaos Engineering, human factors, and site reliability. Charity Majors is Honeycomb's CTO and co-founder, who pioneered Observability as a software practice for modern teams.
Jun 22, 2021   |  By Honeycomb
Presented at o11ycon+hnycon, June 9–10, 2021 Max Edmands, Staff Product Engineer @ Honeycomb Introducing Honeycomb Metrics
Sep 30, 2020   |  By Honeycomb
Honeycomb is an event-based observability tool, but you can-and should-use metrics alongside your events. Fortunately, Honeycomb can analyze both types of data at the same time. When maturing from metrics-based application monitoring to an observability-based development practice, there are considerations that can make the transformation easier for you and your team.
Aug 24, 2020   |  By Honeycomb
Evaluating observability tools can be a daunting task when you're unfamiliar with key considerations and possibilities. This guide steps through various capabilities for observability tooling and why they matter.
Aug 11, 2018   |  By Honeycomb
This document discusses the history, concept, goals, and approaches to achieving observability in today's software industry, with an eye to the future benefits and potential evolution of the software development practice as a whole.

Honeycomb is a tool for introspecting and interrogating your production systems. We can gather data from any source—from your clients (mobile, IoT, browsers), vendored software, or your own code. Single-node debugging tools miss crucial details in a world where infrastructure is dynamic and ephemeral. Honeycomb is a new type of tool, designed and evolved to meet the real needs of platforms, microservices, serverless apps, and complex systems.

Honeycomb provides full stack observability—designed for high cardinality data and collaborative problem solving, enabling engineers to deeply understand and debug production software together. Founded on the experience of debugging problems at the scale of millions of apps serving tens of millions of users, we empower every engineer to instrument and query the behavior of their system.