---
title: "Exploring AI Observability – Part 6: Metrics"
date: 2026-10-13
author: "TheFrameGuy"
featured_image: "https://www.meshiq.com/wp-content/uploads/featured_news_exploring-ai-obervability_101326.jpg"
---

# Exploring AI Observability – Part 6: Metrics

APMdigest’s AI Observability series examines which metrics matter most for AI systems. Greg DeaKyne of meshIQ explains why agent data must correlate with live operational state, including queue depth, consumer lag, and transaction acknowledgments, to measure whether agents complete real business outcomes.