Optimize AWS Fargate Costs

AWS Fargate offers a simplified way to run containers by abstracting infrastructure complexities, but without proper cost management, users can easily overpay. Emily Dunenfeld discusses strategies for optimizing Fargate costs, emphasizing the importance of right-sizing tasks using AWS Compute Optimizer to identify over-provisioned resources and implementing Auto Scaling to adjust resource allocation dynamically. She suggests leveraging Fargate Spot for up to 70% savings and Savings Plans for predictable workloads, with additional savings possible by using ARM-based Graviton processors. Dunenfeld also advises on considering region selection to minimize data transfer costs and suggests that for certain workloads, self-managed EC2 instances may be more cost-effective despite the operational overhead. Continuous monitoring and applying these best practices can help maintain performance and scalability while minimizing expenses.