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Cloud & infrastructure · #ibm
Learn how to diagnose why pods stay Pending in IBM Cloud Kubernetes Service when the node‑pool autoscaler fails to scale, with checks for autoscaler status, node‑pool limits, pod requests, and node health.
Learn how to use IBM Cloud Object Storage’s multipart upload, handle failures, balance cost, and ensure data consistency. A step‑by‑step Python example shows concurrency, retry logic, and best‑practice trade‑offs.
Goal: Deploy a simple web service in an IBM Cloud Kubernetes Service cluster and expose it using an IBM Cloud Load Balancer (ALB) by setting the service annotation service.kubernetes.io/ibm-load-balancer-cloud-provider-ip-type: public . The same manifest works without error in a local kind cluster, where the service receives a routable IP and the application
kubernetes