超越 InferenceService 准备状态：破坏 KServe 部署的 5 种 GitOps 故障模式

The stability of KServe deployments is influenced not only by the readiness of the InferenceService but also by the GitOps control plane. This article analyzes five failure modes that can lead to instability in the GitOps control plane, providing exact terminal outputs, diagnostics, and repeatable fixes for ArgoCD and KServe stacks. These failure modes can disrupt the entire AI service, affecting model deployment and the availability of inference services. By understanding these failure modes, developers can more effectively maintain and optimize their GitOps processes, ensuring the success of KServe deployments. Common errors and strategies for resolution are also discussed, aiding users in better addressing potential issues.