How Observability Makes Better AI and Human Investigators
A hands-on, on-demand workshop from Honeycomb and AWS on how the same telemetry that helps engineers investigate distributed systems gives AI agents the context to reach application-level root cause — and how to make the agents you build observable in production.
Instructions
If you missed the event, you'll need access to:
- An AWS account with CloudShell access and permissions for EKS, IAM, Bedrock, and AWS DevOps Agent
- A free Honeycomb account — sign up at honeycomb.io/signup if you haven't. The free tier includes everything this workshop uses, including Honeycomb MCP.
Use this guide to watch the video and follow along.
In this workshop, 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