Meet the Author
Dan Juengst
Principal Product Marketing Manager
Dan Juengst is a Principal Product Marketing Manager at Honeycomb. Dan has 20+ years of high tech experience in observability, DevOps, Kubernetes, cloud computing, and high performance computing. Dan has held senior technical positions at Confluent, Red Hat, and CloudBees, among others. Dan’s roots in technology originated in the Aerospace industry where he leveraged computational fluid dynamics to design rockets.
Explore Author's Blog
Introducing AI Ecosystem: Zoom Out to See Your Whole AI Agent Fleet
Honeycomb is announcing early access to AI Ecosystem: an AI agent fleet-level analysis layer built on Honeycomb's context-rich data model. It covers AI Agent Fleet Performance, LLM Cost Tracking, and Agent Conversations, with one-click drilldown from any fleet-level signal into the exact conversation on Agent Timeline that explains it.
Agents Need Context: Introducing Canvas Connectors, Fleet-wide AI Agent Visibility, and More
Canvas agents can now read your code, incidents, runbooks and tickets, to get to the right solution, first time. Also new: AI Ecosystem and LLM cost tracking in early access, Anomaly Detection GA, and onboarding from your coding agent.
Instrumenting AI Agents for the Agent Timeline: A Practical OpenTelemetry Guide
The LLM is rarely the root cause of agent failures. This technical guide shows how to instrument AI agents using OpenTelemetry's GenAI semantic conventions so they appear in Honeycomb's Agent Timeline—including tool calls, multi-agent handoffs, and framework-specific SDKs—so you can debug what actually went wrong.
