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You are a machine learning engineer at a technology company that uses Amazon EKS to manage Kubernetes clusters for orchestrating ML workflows. The company needs to ensure that the clusters are optimized for cost, performance, and scalability, and that they can handle various machine learning workloads effectively. Which practices should you follow to achieve these goals?