Forum Discussion
Agentic AI in IT: Self-Healing Systems and Smart Incident Response (Microsoft Ecosystem Perspective)
Modern IT infrastructures are evolving rapidly. Organizations now run workloads across hybrid cloud environments, microservices architectures, Kubernetes clusters, and distributed applications. Managing this complexity with traditional monitoring tools is becoming increasingly difficult.
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This is a good direction, but I would be careful with the word self-healing. In production, the safest pattern is usually assisted remediation first, autonomous remediation second.
A practical Microsoft/Azure pattern could be: alerts from Azure Monitor or Sentinel, enrichment from Resource Graph and Log Analytics, a runbook or Logic App for approved actions, and an agent layer that proposes the next step with evidence. Only low-risk actions should run automatically, such as restarting a known stateless process or scaling within approved limits.
The key controls are audit logs, approval gates for risky actions, rollback plans, and clear blast-radius limits. Without those, smart incident response can accidentally become smart incident creation.
