Davin Taddeo
Customer Architect
Davin believes technology should make people’s lives easier and provide a service to the world. Most of his career has focused on operating, maintaining, implementing, and building products to improve business and personal relationships with technology. On the private side of his life, he is married and has a dog. He and his wife currently live in Okemos, Michigan, though they will probably move when his wife finishes her PhD in Entomology at Michigan State University. His hobbies are reading, watching the stock market take his money, traveling, sometimes woodworking, and every so often playing a video game.
The Blog Is Dead; Long Live the Blog
Ever since the very beginning, Honeycomb has poured a lot of heart and soul into our blog. We take pride in knowing it isn’t just...
Understanding Lambda Sleep Cycles With CONCURRENCY
CONCURRENCY is now enabled for all customers. See our docs page for information about how it works and how to use it effectively. Questions or...
Observability: The 5-Year Retrospective
Two years ago, I wrote a long retrospective of observability for its third anniversary. It includes a history of instrumentation and telemetry, a detailed explanation of the...
How Refinery Helps With Sampling Complex Event Data
Sampling is the practice of extracting a subset of data from a dataset to make conclusions about that larger dataset. It’s far from a perfect...
Metrics now generally available in Honeycomb
Join us for a live tour & Q&A session on Honeycomb Metrics. Ready to get hands-on? Honeycomb Metrics is already included in Enterprise subscriptions. Existing...
What Is Honeycomb’s ROI? Forrester’s Study on the Benefits of Observability
Register for the webinar and download the full study to see and apply Forrester’s financial model to determine the observability ROI for your organization. Many...
Honeycomb Is All-In on OpenTelemetry
OpenTelemetry (or “OTel”) helps you get your instrumentation started quickly, and it helps you get the most out of that telemetry data by providing flexible...
Why Observability Requires a Distributed Column Store
Honeycomb is known for its incredibly fast performance: you can sift through billions of rows, comparing high-cardinality data across thousands of fields, and get fast...
Tale of the Beagle (Or It Doesn’t Scale—Except When It Does)
If there’s one thing folks working in internet services love saying, it’s: Yeah, sure, but that won’t scale. It’s an easy complaint to make, but...
How Vanguard used Observability to Accelerate and De-risk their Cloud Migration
Rich Anakor, chief solutions architect at Vanguard, is on a small team with a big goal: Give Vanguard customers a better experience by enabling internal...
Improving Our Typography to Optimize the Honeycomb User Experience
This is the second post in our series about Lattice, Honeycomb’s new design system and how we’re applying a user-centric design philosophy to our product. ...
How Slack Transformed Their CI With Tracing
Slack experienced meteoric growth between 2017 and 2020—but that level of growth came with growing pains. In his talk at the 2021 o11ycon+hnycon, Frank Chen...
Shipping on a Spent Error Budget
Modern software services are expected to be highly available, and running a service with minimal interruptions requires a certain amount of reliability-focused engineering work. At...
Designing Honeycomb for Our Users
You might have noticed some visual changes happening in Honeycomb lately. Colors, typography, icons, and some features have started to look a bit different. While...
Data Availability Isn’t Observability
But it’s better than nothing... Most of the industry is racing to adopt better observability practices, and they’re discovering lots of power in being able...