deploy-aws

Automating ML service deployment to AWS EKS requires Kustomize overlays for environment-specific configurations and IRSA bindings for secure access controls. This approach ensures controlled, repeatable, production-ready releases across staging and production workflows.

Managing environment-specific access controls for EKS deployments is best handled using IRSA bindings on service accounts. This method provides precise RBAC configuration and pre-flight checks for dev, staging, and production environments.

Deploying to EKS with IRSA requires explicit version tagging and image publishing to ECR. These steps guarantee reproducible, GitOps-friendly workflows and enable correct IAM roles for IRSA on the service account.

You can use Kustomize overlays to separate staging and production rollout controls for ML services. This enables environment-specific configurations and guardrails for production, ensuring safe and repeatable deployments.

Manual EKS deployments result in inconsistent security contexts because they require risky configuration changes and lack standardized IRSA bindings. Automating with Kustomize overlays enforces consistent RBAC and environment-specific access controls.