Unlock a repeatable, end‑to‑end workflow for running scalable, reliable agentic AI on AWS. This session shows how HCP Terraform streamlines cloud operations with chained infrastructure stages, built‑in post‑run automations, and powerful features like Stacks, Actions, and Search & Import to bring unmanaged AWS resources under control. You’ll also see how HCP Vault fits seamlessly into Kubernetes environments to strengthen security without adding complexity.

Cut through complexity and take control of your AI infrastructure. Learn how to automate everything with Terraform, lock down security with Vault + Kubernetes, and tame sprawling AWS resources with ease. You’ll leave with actionable patterns you can use immediately to scale agentic AI, reduce overhead, and run production‑grade systems with total confidence.

Key Takeaways:

• Why agentic AI behaves unpredictably and how to turn its looping, branching, “wait‑what?” execution paths into predictable, governed operations.
• How to avoid surprise scale and spend by controlling bursty tool calls, limiting unintended system access, and managing runtime volatility.
• How Terraform, HCP, and Vault provide the guardrails to pace activity, scope permissions, and bound resource use—so you can run agentic AI safely and confidently in production.