With a plethora of pre-trained LLM models available off the shelf, integrating them into applications is becoming increasingly accessible. But getting them into production is a different story. In this article, I'll walk through the pattern I followed to deploy an agentic AI solution to production, one that leverages OpenAI models and LangGraph, hosted on AWS ECS Fargate.Why ECS FargateThe primary reason to choose ECS Fargate over SageMaker is simplicity. Fargate is fully managed and on-demand, meaning there is no idle infrastructure cost. You pay for what you run, and you don't have to worry about managing the underlying EC2 instances. For a team that wants production-grade hosting without the operational overhead, Fargate hits a practical sweet spot. Lambda was off the table for obvious reasons, such as cold start penalties and memory caps, making it a poor fit for any LLM workload.