Kubernetes is powerful for scaling GitLab Runner deployments, but managing it can be challenging. Many organizations diving into containerized CI/CD underestimate the costs and security risks involved. The Total Cost of Ownership (TCO) is more than just the initial setup; it requires careful planning around architecture, scaling, and security. Amazon EKS Auto Mode simplifies these complexities by automatically managing the infrastructure, optimizing compute resources, and integrating with AWS security features. Using GitLab Runners on EKS Auto Mode, along with Amazon EC2 Spot Instances, can significantly reduce costs—up to 90% compared to traditional setups. This approach enhances operational efficiency while ensuring that CI/CD pipelines remain resilient and scalable. The deployment leverages infrastructure as code (IaC) practices, emphasizing security with Role-Based Access Control (RBAC) and AWS Identity and Access Management (IAM) roles. To implement this solution, you'll need a GitLab environment with a Runner Token and several tools like AWS CLI, eksctl, and kubectl. The article provides a detailed walkthrough, including deploying an EKS Auto Mode cluster, configuring IAM roles, and installing GitLab Runner via Helm. Configuration files are also included to customize the setup, allowing for easy adjustments. The entire process is designed to be automated through a script, making it straightforward to set up an enterprise-level CI/CD environment.