Developed a Kubernetes-ready gRPC health integration for the jeejeelee/vllm repository, focusing on enhancing the reliability and observability of model-serving endpoints. The solution implemented standard grpc.health.v1 health checking, enabling seamless integration with Kubernetes native probes and supporting automated recovery and scaling. Work included writing comprehensive documentation for serving models over gRPC and detailing the new health-check functionality. Python was used extensively for backend development and testing, ensuring robust and reliable health signaling. The approach emphasized maintainability and operational safety by reducing deploy-time rollback risks and providing clear health indicators for Kubernetes-managed deployments in production environments.