AI metrics advisor

Overview

The AI metrics advisor is an AI Agent that provides best-practice metric monitoring recommendations for any resource within your Business Application.

Instead of manually identifying which metrics to track, the agent analyzes the resource type and surfaces a prioritized list of metrics — based on Azure SRE guidance — with recommended conditions, thresholds, and aggregation types ready to apply.

How It Works

When triggered, the agent evaluates the resource type and generates a ranked list of metric recommendations categorized as Critical, Important, or Optional.

Each recommendation includes the metric name, its purpose, suggested warning and error thresholds, condition, and aggregation type — giving full context for why each metric matters before applying it.

Recommendations can be selectively applied to the resource's monitoring configuration with a single click, without needing to configure each metric manually.

Accessing AI metrics advisor

AI metrics advisor is accessible from two places:

Resource Monitoring tab — Open any resource within a Business Application, navigate to the Monitoring tab, and click AI metrics advisor in the Metrics section. The agent generates recommendations specific to that resource and allows thresholds to be applied directly to its monitoring configuration.

Monitoring profile (Create/Edit) — While creating or editing a monitoring profile, select a resource type and click AI metrics advisor in the Metrics section. Recommendations are generated for the selected resource type and can be applied directly to the profile.

Recommendations

Each recommendation in the panel includes the following:

Metric — The name and unit of the metric
Recommendation — Priority level: Critical, Important, or Optional
Purpose — A plain-language explanation of what the metric tracks and why it matters
Condition — The comparison operator for the threshold rule
Warning / Error — Suggested threshold values for warning and error states
Aggregation — The aggregation type to use when evaluating the metric

Select the desired metrics and click Apply to add them to the resource's monitoring configuration.