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  Scaling microservices on Huawei Cloud Container Engine (CCE) should be a seamless operation. However, when utilizing EulerOS node pools under heavy load, teams frequently encounter a critical Huawei Cloud deployment error: node autoscaling triggers successfully, but new Pods remain stuck in a   ContainerCreating   or   Pending   state. Examining the cluster events inevitably reveals Container Network Interface (CNI) IP pool exhaustion. This failure cascade severely impacts Enterprise cloud DevOps pipelines. This article breaks down the architectural constraints causing this issue on Huawei Cloud CCE and provides a definitive, code-backed solution to stabilize your cluster scaling. The Root Cause: VPC-CNI Architecture and Subnet Exhaustion To understand why IP exhaustion occurs when running Kubernetes on EulerOS within CCE, we must look at the underlying network models. CCE offers several networking modes, but high-performance enterprise environments typically ...

  Migrating to Google Kubernetes Engine (GKE) Autopilot often feels like a victory for operational efficiency. You eliminate node pool management, OS patching, and bin-packing headaches. Yet, many engineering teams receive their first Autopilot bill and face immediate shock: the costs are significantly higher than their legacy GKE Standard clusters. The discrepancy usually isn't due to Google's pricing per vCPU. It stems from a fundamental misunderstanding of the billing boundary. In GKE Standard, you monetize  efficiency . In GKE Autopilot, you monetize  precision . If your team blindly migrates manifests from Standard to Autopilot without adjusting resource requests, you are paying a hidden "slack tax." This article details the root cause of this cost disparity and provides a technical strategy to audit and fix it. The Root Cause: Node Billing vs. Request Billing To understand the cost leak, we must analyze the architectural differences in how resources are provisio...