Trace Kubernetes resources for llm-d model serving

This blog post provides a detailed walkthrough of deploying a model inference service using Red Hat AI on Amazon Elastic Kubernetes Service (EKS), focusing on tracing Kubernetes resources and showcasing configurations for both basic and intelligent routing with LLMInferenceService. It emphasizes the significance of the gateway and controller components in managing inference requests and highlights deployment steps, components involved, resource management, and future considerations for traffic processing.