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.

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.

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.

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.

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.

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.

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.

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!

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.