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.
Introducing Honeycomb for Kubernetes: Bridging the Divide Between Applications and Infrastructure
In our continuous journey to support teams grappling with the complexities of Kubernetes environments, we’re thrilled to announce the launch of Honeycomb for Kubernetes, a...
How to Avoid Paying for Honeycomb
You probably know that we have a generous free plan that allows you to send 20 million events per month. This is enough for many...
Effortless Engineering: Quick Tips for Crafting Prompts
Large Language Models (LLMs) are all the rage in software development, and for good reason: they provide crucial opportunities to positively enhance our software. At...
Start with Traces, not with Logs: How Honeycomb Helped Massdriver Reduce Alert Fatigue
Before Massdriver, Dave worked in product engineering where he was constantly bogged down with DevOps toil. He spent his time doing everything except what he...
OpenTelemetry For Humans
Who is software for? It’s an interesting question, because there’s an obvious answer. It’s for the users, right? If your job is to write software,...
What Happens to DevOps when the Kubernetes Adrenaline Rush Ends?
Kubernetes has been around for nearly 10 years now. In the past five years, we’ve seen a drastic increase in adoption by engineering teams of...
A Vicious Cycle: Data Hidden Behind Lock and Key
Understanding production has historically been reserved for software developers and engineers. After all, those folks are the ones building, maintaining, and fixing everything they deliver...
So We Shipped an AI Product. Did it Work?
Like many companies, earlier this year we saw an opportunity with LLMs and quickly (but thoughtfully) started building a capability. About a month later, we...
What Is a Feature Flag? Best Practices and Use Cases
Do you want to build software faster and release it more often without the risks of negatively impacting your user experience? Imagine a world where...
Rescue Struggling Pods from Scratch
Containers are an amazing technology. They provide huge benefits and create useful constraints for distributing software. Golang-based software doesn’t need a container in the same...
LLMs Demand Observability-Driven Development
Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very...
Experiments in Daily Work
In high school chemistry and then college physics labs, we learned a strong definition of "experiment." Experiments are tied to the Scientific Method, responsible for...
One-Click Insights with Board Templates
Whether you’re a new Honeycomb user or a seasoned expert looking to uncover fresh insights, chances are you’ve sent tremendous amounts of data into Honeycomb...
OpenTelemetry Gotchas: Phantom Spans
At work, we use OpenTelemetry extensively to trace execution of our Haskell codebase. We struggled for several months with a mysterious tracing issue in our...
Deploying the OpenTelemetry Collector to Kubernetes with Helm
The OpenTelemetry Collector is a useful application to have in your stack. However, deploying it has always felt a little time consuming: working out how...