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By Rox Williams
Fender faced challenges with log analysis, finding it slow and complex to navigate, leading to inefficient troubleshooting and a need for a more user-friendly and modern observability solution. Synonymous with all things rock n’ roll, Fender is the world’s leading guitar manufacturer. To enhance the customer experience, Fender launched their digital apps in 2016 (Fender Tune and Fender Tone) and 2017 (Fender Play) to empower customers in starting and advancing their guitar playing skills.
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By Winston Hearn
Today, we're announcing the early access program of Honeycomb for Frontend Observability. Honeycomb for Frontend Observability gives teams the ability to quickly identify opportunities for optimization within their web app. This starts with better OpenTelemetry instrumentation, available as an NPM package, that lets you instrument and collect attribution data on Core Web Vitals in under an hour.
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By Aiden Senner
The 1981 book Simulacra and Simulation by Jean Baudrillard is widely read and cited within academic circles but also permeates popular culture, influencing films, literature, and art. His theories notably influenced the Wachowski siblings' The Matrix series, bringing some of his ideas into mainstream awareness.
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By Josephine Yuan
We’re excited to bring you relational fields, a new feature that allows you to query spans based on their relationship to each other within a trace. Previously, queries considered spans in isolation: You could ask about field values on spans and aggregate them based on matching criteria, but you couldn’t use any qualifying relationships about where and how the spans appear in a trace.
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By Austin Parker
You're probably familiar with the concept of real user monitoring (RUM) and how it's used to monitor websites or mobile applications. If not, here's the short version: RUM requires telemetry data, which is generated by an SDK that you import into your web or mobile application. These SDKs then hook into the JS runtime, the browser itself, or various system APIs in order to measure performance.
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By Rox Williams
Relying on their traditional observability 1.0 tool, Pax8 faced hurdles in fostering a culture of ownership and curiosity due to user-based pricing limitations and an impending steep price increase. Pax8’s platform engineering team was keen on modernizing the company’s cloud commerce platform, but they were hitting obstacles with their traditional observability 1.0 tool, which relied on the three pillars of logs, metrics, and traces.
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By Einar Norðfjörð
This article touches on how we at Birdie handled our transition from logs towards using OpenTelemetry as the primary mechanism for achieving world-class observability of our systems.
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By Jessica Kerr
Today at Google Next, Charity Majors demonstrated how to use Honeycomb to find unexpected problems in our generative AI integration. Software components that integrate with AI products like Google’s Gemini are powerful in their ability to surprise us. Nondeterministic behavior means there is no such thing as “fully tested.” Never has there been more of a need for testing in production!
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By Howard Yoo
A few days ago, I was in a meeting with a prospect who was just starting to try out OpenTelemetry. One of the things that they did was to create an observability demo project which contained an HTTP reverse proxy, a web frontend, three microservices, a database, and a message queue. Here’s a rough diagram: Their motivation was to try out OpenTelemetry and see how much effort it took for them to instrument their system.
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By Purvi Kanal
Core Web Vitals (CWV) are Google's preferred metrics for measuring the quality of the user experience for browser web apps. Currently, Core Web Vitals measure loading performance, interactivity, and visual stability. These are the main indicators of what a user’s experience will be while using a web page: Note: As of March 12th, INP has become a stable Core Web Vital, replacing First Input Delay (FID).
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By Honeycomb
As a new company poised to transform the financial services industry with its modern money movement platform, Moov wanted an equally modern observability platform as part of the company’s operational tech stack.
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By Honeycomb
In this three minute clip from our recent webinar with DORA's Nathen Harvey, Charity Majors explains observability 1.0 versus observability 2.0.
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By Honeycomb
In this three minute clip from our recent webinar with DORA's Nathen Harvey, Charity Majors explains observability 1.0 versus observability 2.0.
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By Honeycomb
If you wrote a query but realized you were in the wrong environment, here's how you can avoid having to rewrite your query by copying the JSON. Thanks Jessitron for making this helpful video!
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By Honeycomb
Imagine a universe in which a massively multiplayer online role-playing game (MMORPG) sets Guinness World Records for the size of its online space battles—and that game is built on 20-year-old code. Well, imagine no more. Welcome to the world of EVE Online, where hundreds of thousands of players interact across 7,800+ star systems and participate in more than one million daily market transactions. As you might guess, updating and maintaining this codebase without interrupting game play could pose quite a challenge.
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By Honeycomb
Honeycomb Customer Success Manager Josh Levin explains how to troubleshoot production incidents using Honeycomb's telemetry data: metrics, traces, and logs. While these data forms have separate interfaces, you can investigate seamlessly within Honeycomb. Josh highlights the key role of the "retriever" service in data ingestion and querying and demonstrates cross-validating tracing data with metrics to spot anomalies in pod deployments and resource usage, presented in a separate dataset. He also uses effective log filtering and searching for keywords like "update status.".
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By Honeycomb
Buildevents is a small binary used to help instrument builds to generate trace telemetry. It populates the trace with metadata from the GitHub Actions environment so you have details about what occurred throughout the entire build. In this tutorial, learn how to instrument with Buildevents and GitHub actions.
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By Honeycomb
Buildevents is a small binary used to help instrument builds to generate trace telemetry. It populates the trace with metadata from the GitHub Actions environment so you have details about what occurred throughout the entire build. In this tutorial, learn how to instrument with Buildevents and GitHub actions.
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By Honeycomb
Nathan Lincoln, an SRE at Honeycomb, walks through the basics of feature flag best practices (using LaunchDarkly) to help you maintain a stable system. Feature flags are useful for reducing outages and downtime in our systems by allowing traffic segmentation, but they can create chaos without proper maintenance.
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By Honeycomb
Tech debt. Vendor redundancy. System fragmentation. Startups and cloud–born companies are looking at vendors for cost-cutting opportunities. But how do you balance vendor costs and value when those resources and tools bring efficiencies as high as the monthly bills? In this session, Charity Majors and Gergely Orosz share advice on managing spend in a vendor-dependent world.
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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.
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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.
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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.
- May 2024 (3)
- April 2024 (8)
- March 2024 (10)
- February 2024 (11)
- January 2024 (8)
- December 2023 (6)
- November 2023 (8)
- October 2023 (7)
- September 2023 (9)
- August 2023 (8)
- July 2023 (7)
- June 2023 (14)
- May 2023 (16)
- April 2023 (12)
- March 2023 (22)
- February 2023 (7)
- January 2023 (8)
- December 2022 (3)
- November 2022 (8)
- October 2022 (16)
- September 2022 (10)
- August 2022 (11)
- July 2022 (11)
- June 2022 (14)
- May 2022 (6)
- April 2022 (14)
- March 2022 (8)
- February 2022 (9)
- January 2022 (9)
- December 2021 (11)
- November 2021 (7)
- October 2021 (9)
- September 2021 (5)
- August 2021 (4)
- July 2021 (6)
- June 2021 (11)
- May 2021 (2)
- April 2021 (4)
- March 2021 (5)
- February 2021 (9)
- January 2021 (6)
- December 2020 (9)
- November 2020 (7)
- October 2020 (18)
- September 2020 (11)
- August 2020 (4)
- July 2020 (6)
- June 2020 (4)
- May 2020 (6)
- April 2020 (7)
- March 2020 (5)
- February 2020 (4)
- January 2020 (5)
- December 2019 (3)
- November 2019 (3)
- October 2019 (2)
- September 2019 (7)
- August 2019 (6)
- July 2019 (5)
- June 2019 (6)
- May 2019 (6)
- April 2019 (4)
- March 2019 (3)
- February 2019 (3)
- January 2019 (4)
- December 2018 (9)
- November 2018 (8)
- October 2018 (2)
- September 2018 (5)
- August 2018 (11)
- July 2018 (7)
- June 2018 (7)
- May 2018 (7)
- April 2018 (3)
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.