From Scripts to Scalable Orchestration in AI Data Centers

Neocloud and AI data center operators are scaling GPU infrastructure faster than operational capacity. While most teams have strong automation, it often breaks down as environments grow: workflows become site-specific, integrations become brittle, operations teams depend on engineering, and incident response becomes manual and inconsistent.

In this technical webinar, we’ll show how leading AI infrastructure teams use unified orchestration to connect inventory, monitoring, ticketing, and infrastructure APIs into repeatable, governed workflows that scale across sites and teams. We’ll close with a live demo of an end-to-end event-driven workflow: an alert triggers automated diagnostics collection, enriches the incident with NetBox context, creates or updates a ticket, and optionally initiates a remediation workflow with validation and audit trails.

What you’ll see in the live demo:

• Build event-driven workflows that turn alerts into action.
• Orchestrate across inventory, monitoring, ticketing, and infrastructure APIs.
• Standardize execution using reusable workflow services.
• Govern operations with RBAC, approvals, and audit trails.
• Integrate existing Ansible and Python automation without rewrites.
• Scale the same workflow model across sites and environments.

You’ll leave with practical patterns for building scalable operational workflows, reducing engineering toil, and improving reliability across GPU environments.