Kubernetes Job Not Starting Due to Resource Limits on GKE - scenarios: Insufficient CPU
I need some guidance on I'm working on a personal project and I'm working with an scenario where my Kubernetes Job is not starting on Google Kubernetes Engine (GKE) due to resource limitations... I have defined my Job to request 500m CPU and 256Mi memory, but I keep working with the following behavior in the Job's events: ``` Warning Failed 3m58s (x10 over 5m) batch Job "my-job" is invalid: spec.template.spec.containers[0].resources.limits: Invalid value: "500m": must be less than or equal to the requested resources ``` I’ve double-checked my YAML configuration, and it looks like this: ```yaml apiVersion: batch/v1 kind: Job metadata: name: my-job spec: template: spec: containers: - name: my-container image: my-image:latest resources: requests: cpu: "500m" memory: "256Mi" limits: cpu: "500m" memory: "256Mi" restartPolicy: Never ``` I’ve tried adjusting the limits and requests to match and also remove the limits entirely, but the Job still fails to start. I'm running GKE version 1.22.8-gke.2100, and I’ve verified that my cluster has enough resources available. The node pool has sufficient CPU and memory to accommodate the Job, and I can run other Pods without issues. Additionally, I checked if there are any quota limits set on my GKE project, but everything seems normal there as well. I’m unsure if this is a configuration scenario or something specific to the GKE environment. Any insights or suggestions on how to resolve this would be greatly appreciated. This is part of a larger application I'm building. Thanks in advance! What would be the recommended way to handle this? For reference, this is a production desktop app.