Uploaded July 2026 | Updated September 2026, 2 weeks ago
Learn how to set up alerting that catches agent failures fast, without paging you for every minor blip. Evals produce scores, but a monitor is what tells you something's actually wrong without you watching a dashboard.
The difference between a useful alert and noise is routing: guardrail failures should page someone now, while everything else can wait for a weekly review.
Watch this to learn:
β’ How to configure a monitor to watch an eval label, with static vs. automatic thresholds
β’ Where alerts should go (Slack, PagerDuty) and how to route guardrails vs. weekly reviews
β’ Why evals also belong in your CI/CD pipeline, running on every prompt and code change
Chapters:
00:00 Why monitors matter
00:15 What a monitor watches
00:52 Configuring a monitor and thresholds
02:08 Where alerts go, Slack and PagerDuty
02:33 Route guardrails vs. weekly reviews
02:58 The full production loop
03:49 Evals in your CI/CD pipeline
04:27 Next: closing the loop
π Sign up for free: app.arize.com/auth/login?utm_source=youtube&utm_medium=organic_social&utm_campaign=arize_ax_getting_started
π Learn more about Arize AX: arize.com
π Colab notebook for the series: colab.research.google.com/drive/1dViThD0kJjbqtDGE7-ciBYIRwV-HBN1T
π Docs: docs.arize.com
π Subscribe for weekly content on LLMs, agents, and evaluation: youtube.com/@arizeai?sub_confirmation=1
#ArizeAX #AIMonitoring #AgentObservability
Learn how to set up alerting that catches agent failures fast, without paging you for every minor blip. Evals produce scores, but a monitor is what tells you something's actually wrong without you watching a dashboard.
The difference between a useful alert and noise is routing: guardrail failures should page someone now, while everything else can wait for a weekly review.
Watch this to learn:
β’ How to configure a monitor to watch an eval label, with static vs. automatic thresholds
β’ Where alerts should go (Slack, PagerDuty) and how to route guardrails vs. weekly reviews
β’ Why evals also belong in your CI/CD pipeline, running on every prompt and code change
Chapters:
00:00 Why monitors matter
00:15 What a monitor watches
00:52 Configuring a monitor and thresholds
02:08 Where alerts go, Slack and PagerDuty
02:33 Route guardrails vs. weekly reviews
02:58 The full production loop
03:49 Evals in your CI/CD pipeline
04:27 Next: closing the loop
π Sign up for free: app.arize.com/auth/login?utm_source=youtube&utm_medium=organic_social&utm_campaign=arize_ax_getting_started
π Learn more about Arize AX: arize.com
π Colab notebook for the series: colab.research.google.com/drive/1dViThD0kJjbqtDGE7-ciBYIRwV-HBN1T
π Docs: docs.arize.com
π Subscribe for weekly content on LLMs, agents, and evaluation: youtube.com/@arizeai?sub_confirmation=1
#ArizeAX #AIMonitoring #AgentObservability










