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.
BubbleUp Meets Tracing (and Other Odd-shaped Data)
A few weeks ago, BubbleUp came out of Beta. We've been getting fantastic user feedback on how BubbleUp helps users speed through the Core Analysis...
How To Talk to Your Boss About Honeycomb
At Honeycomb, we're pretty engineering-focused. We think our product is something every developer can benefit from, and we're working to build something we would want...
The True Cost of “Search-First” Problem-solving on Your Production Systems
The search-first problem-solving approach—meaning “open up the log search tool” (Splunk, ELK, Loggly, SumoLogic, Scalyr, etc)—is a costly and time-consuming operation during which the true...
Metric Analysis, Application Performance Monitoring, and Log Management: Where Does Honeycomb Fit In?
If you’re involved in improving the performance of your application, you’ve probably heard about application performance monitoring (APM), metric analysis, and log management. But you...
How Much Should My Observability Stack Cost?
What should one pay for observability? What should your observability stack cost? What should be in your observability stack? How much observability is enough? How...
Diving into Data with Honeycomb: BubbleUp (formerly codename: Drilldown) is in Beta!
This blog miniseries talks about how to think about doing data analysis the Honeycomb way. In this episode, we announce an exciting new feature, currently...
The Core Analysis Loop, or: Heatmaps Make Analysis Better
In this blog miniseries, I'm talking about how to think about doing data analysis, the Honeycomb way. In Part I, I talked about how heatmaps...
Honeycomb and Rookout: An Integration That Finds the Dots to Connect
This guest blog post is by Or Weis, Co-Founder and CEO of Rookout, the Rapid Debugging Company. He’s a low-level engineer and a CybSec Expert. You...
Heatmaps Make Ops Better
In this blog miniseries, I'd like to talk about how to think about doing data analysis "the Honeycomb way." Welcome to part 1, where I...
Our Experience: Thundra Integration for Honeycomb
This is a guest post from Salih Kardan, Software Engineer @Thundra and Committer at Apache, formerly SRE @Opsgenie. He specializes in managing AWS services and...
Explore RubyGems data with Honeycomb
Our new RubyGems.org public dataset is now available — use it to analyze global download traffic of all gems hosted on RubyGems! About RubyGems.org RubyGems.org...
Speeding Things Up So Your Queries Can Bee Faster
Honeycomb strives to be a fast, efficient tool; our storage back-end satisfies the median customer query in 250ms (and the P90 in 1.3 seconds). Still,...
Postmortem: RDS Clogs & Cache-Refresh Crash Loops
On Thursday, October 4, we experienced a partial API outage from 21:02-21:56 UTC (14:02-14:56 PDT). Despite some remediation work, we saw a similar (though less...
Collaboration with OpenCensus: A new way to get traces into Honeycomb
Okay, the cat was out of the bag when the PR merged -- Regardless, we're happy to announce the existence of the Honeycomb Exporter for...
Power to the People: Control Your Own Trigger Destiny with Webhooks
When we release something new, whether it's a new SDK or Beeline or a new feature in the UI, we'll often set a Honeycomb Trigger...