
Sponsored By:

Wednesday, September 17
11 am ET
Terraform has transformed infrastructure delivery, yet many IaC workflows remain constrained by manual processes. As application development accelerates with AI, infrastructure must keep pace to avoid becoming the limiting factor.
Autonomous Infrastructure shifts the model—using AI agents to translate intent into production-ready code and continuously manage, optimize, and govern environments across clouds. This approach enables infrastructure that adapts in real time, aligning with business priorities and evolving demands.
We’ll explore how leading organizations are adopting this model to scale Terraform, streamline governance, and move from static configurations to dynamic, self-managing systems.
Key Takeaways:
Evolve Beyond Manual IaC – Streamline Terraform operations by generating and managing code automatically while preserving governance and best practices.
Close the Delivery Gap – Align infrastructure speed with AI-accelerated development by reducing provisioning from weeks to minutes.
Maintain Consistency at Scale – Keep multi-environment and multi-cloud deployments in sync with built-in policy enforcement.
Shift from Reactive to Preventive – Detect and resolve drift before it impacts performance or compliance.
Prepare for Autonomous Infrastructure – Integrate AI agents into Terraform workflows to enable adaptive, self-managing systems.
Register Below:
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Ned Harris
Solutions Engineer - StackGen

Dharani Vijayakumar
Principal Product Manager - StackGen
