Hyunsoo Kim enhanced AWS EKS environment detection in the fluent/fluent-bit repository by updating the Kubernetes filter logic to leverage the service account token issuer for more reliable identification of EKS clusters. Using C programming and AWS expertise, Hyunsoo’s approach reduced misclassification across clusters and improved the accuracy of AWS-specific log routing. This targeted feature addressed challenges in cloud-native observability by minimizing downstream troubleshooting and supporting more dependable deployment behavior. The work demonstrated a focused application of Kubernetes and AWS skills, resulting in a well-scoped, production-ready improvement that aligns with ongoing goals for robust environment detection in distributed systems.