How Observability Makes Better AI and Human Investigators

Context Makes Humans and AI Agents Better

AI agents are only as effective as the context they can access. The teams shipping agentic tooling successfully are the ones who solved observability first.

Join Honeycomb and AWS for a live, hands-on workshop where you’ll see how the same telemetry that helps engineers investigate distributed systems also gives AI agents the context to reach application-level root cause, and makes the agents you build observable in production.

Together, you'll:

• Deploy a real microservices application on Amazon EKS and connect it to Honeycomb with a single exporter change, no application code required
• Investigate a real latency issue using traces, BubbleUp, and Canvas, the way you would in production
• Watch an AWS DevOps Agent investigate the same issue first without telemetry access, then again after Honeycomb MCP is connected, and compare the two results
• Build and instrument your own AI agent, in about 60 lines of code, and watch a complete Agent Timeline populate with its reasoning, tool calls, and token usage

This isn't a slide-based webinar or product demo. You'll leave with a practical understanding of how OpenTelemetry, Honeycomb, and AWS support both today's engineering investigations and agentic operations.

Prerequisites:

All workshop activities use Honeycomb features available in the free tier, so you can continue exploring the workflow after the session. Be sure to sign up for a free account!