Andreas Tsagkaropoulos developed deployment health monitoring for the Exponential Smoothing Predictor in the eu-nebulous/helm-charts repository, focusing on reliability and maintainability. He implemented liveness and readiness probes using YAML to verify the existence of a health file, which is removed as part of the health workflow, ensuring accurate operational status reporting. The work included updating the Helm chart version and refining deployment templates to align with best practices in DevOps and Kubernetes environments. Over the course of one month, Andreas delivered a targeted feature that improved the observability and operational robustness of the predictor deployment without addressing bug fixes.