Overall documentations: kubernetes-resources, managing-resources. It shows that the container cannot be scheduled because of insufficient CPU resources on the Nodes. apiVersion: v1Īfter creating pod you will get similar output: In below pod's configuration file the container requests 100 CPU, which is likely to exceed the capacity of any Node in your cluster. A Pod is scheduled to run on a Node only if the Node has enough CPU resources available to satisfy the Pod CPU request. Likewise, the CPU limit for a Pod is the sum of the CPU limits for all the Containers in the Pod. The CPU request for a Pod is the sum of the CPU requests for all the Containers in the Pod. Only one node can connect to a shared remote USB device at a time. Two (2) nodes may connect to shared USB devices remotely. Basic Subscription for FlexiHub lets you share two (2) USB devices per account. To specify a CPU limit, include resources:limits.ĬPU requests and limits are associated with Containers, but it is useful to think of a Pod as having a CPU request and limit. Basic Subscription for FlexiHub lets you link three (3) nodes simultaneously. To specify a CPU request for a container, include the resources:requests field in the Container resource manifest. This protects against a resource shortage on a node when resource usage later increases, for example, during a daily peak in request rate. Reached heap limit Allocation failed - JavaScript heap out of memory 1. Note that although actual memory or CPU resource usage on nodes is very low, the scheduler still refuses to place a Pod on a node if the capacity check fails. So far in my testing - and I had to use NODEOPTIONS-maxoldspacesize8192. The scheduler ensures that, for each resource type, the sum of the resource requests of the scheduled Containers is less than the capacity of the node. Each node has a maximum capacity for each of the resource types: the amount of CPU and memory it can provide for Pods. When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on.
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