Azure SRE Agent

Overview

Azure SRE Agent is Microsoft's entry into the AI SRE category, moving from preview into general availability in 2026. It acts as an always-on operations teammate attached to your Azure resources: when something degrades, the agent pulls telemetry, correlates signals across services, forms a hypothesis about the root cause, and proposes remediation. With appropriate permissions it can execute approved actions such as restarting an app, scaling a resource, or rolling back a deployment, and it records what it did for post-incident review.

How It Works

The agent connects to Azure Monitor, Application Insights, resource logs, and the resource graph, and can be scoped to specific subscriptions or resource groups. Diagnostics run autonomously, but remediation sits behind approval gates by default, so the agent proposes rather than acts until an operator authorizes it. It can generate incident reports, push issues into GitHub or Azure DevOps, and integrate with existing on-call workflows. Microsoft has cited large-scale internal use across its own services as evidence of production readiness.

Pricing

Billing uses Azure Agent Units (AAUs), a unit Microsoft applies across its prebuilt agents. There are two components: an always-on flow charged at a fixed 4 AAUs per agent-hour, and an active flow charged on the LLM tokens the agent actually consumes while investigating. As of April 2026 the active-flow component is calculated per million tokens. The upside is no seat licensing; the downside is that a noisy month with many incidents costs more than a quiet one, and forecasting requires observing real usage first.

Who It Is For

This is a natural fit for teams already standardized on Azure who want incident triage automation without adopting a new observability vendor. If your estate spans AWS, GCP, and on-prem alongside Azure, a vendor-neutral AI SRE (Cleric, Resolve.ai, Traversal, or Datadog Bits AI) will cover more of your surface area.