---
title: "Beyond Golden Signals: Monitoring in the Age of GenAI"
category: "talks"
date: "2026-06-29"
time: "2:25pm-2:45pm"
track: "Expo Stage 1 NE"
room: "Expo Stage 1 NE"
speakers: ["Marina Petzel"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: ""
scheduleRoom: "Expo Stage 1 NE"
scheduleLabels: ["Expo Stage 1 NE", "session", "confirmed"]
---
# Beyond Golden Signals: Monitoring in the Age of GenAI

## Conference Context
- Date/time: 2026-06-29 · 2:25pm-2:45pm
- Track/room: track TBD · Expo Stage 1 NE
- Speaker(s): Marina Petzel
- Session type/status: session · confirmed

- Track: track TBD
- Room: Expo Stage 1 NE
- Session type: session
- Status: confirmed

## Session Description
The four golden signals (Latency, Errors, Traffic, Saturation) have been the foundation of application monitoring for years, and it still matters, but for GenAI applications, these signals alone leave significant blind spots. A request can return 200 OK with low latency while the response hallucinates, leaks PII, or costs much more than expected. This talk will walk you through what changes when you're monitoring non-deterministic, token-priced, prompt-injectable systems. We'll cover three additional monitoring dimensions: Cost (token attribution, model-mix tracking, wasted spend on failed requests), Safety (prompt injection detection, PII scanning, jailbreak attempts), and Quality (hallucination rate, relevance scoring, user satisfaction) and show why each one is necessary alongside your existing instrumentation.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[marina-petzel]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# Beyond Golden Signals: Monitoring in the Age of GenAI ## Conference Context - Date/time: 2026-06-29 · 2:25pm-2:45pm - Track/room: track TBD · Expo Stage 1 NE - Speaker(s): Marina Petzel - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 1 NE - Session type: session - Status: confirmed ## Session Description The four golden signals (Latency, Errors, Traffic, Saturation) have been the foundation of application monitoring for years, and it still matters, but for GenAI applications, these signals alone leave significant blind spots. A request can return 200 OK with low latency while the response hallucinates, leaks PII, or costs much more than expected. This talk will walk you through what changes when you're monitoring non-deterministic, token-priced, prompt-injectable systems. We'll cover three additional monitoring dimensions: Cost (token attribution, model-mix tracking, wasted spend on failed requests), Safety (prompt injection detection, PII scanning, jailbreak attempts), and Quality (hallucination rate, relevance scoring, user satisfaction) and show why each one is necessary alongside your existing instrumentation.

### Speaker And Company Context
- [[marina-petzel|Marina Petzel]] — role not listed at company not listed.

### Topics Covered
- [[agent-security]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.