Kubernetes CronJob scenarios to Run Due to API Rate Limiting on GKE
Does anyone know how to I'm running a Kubernetes CronJob that is supposed to execute every hour, but I've noticed it frequently fails with the following behavior message: `behavior from server (TooManyRequests): the server is currently unable to handle the request due to a temporary overload or maintenance of the server`. This scenario occurs on GKE (Google Kubernetes Engine) and seems to be related to API rate limiting. The CronJob configuration is as follows: ```yaml apiVersion: batch/v1beta1 kind: CronJob metadata: name: my-cronjob spec: schedule: "0 * * * *" jobTemplate: spec: template: spec: containers: - name: my-container image: my-image:latest command: ["/bin/sh", "-c", "echo Hello from the CronJob"] restartPolicy: OnFailure ``` I noticed that the job sometimes runs successfully, but most of the time it either gets throttled or doesn't start at all. I have tried increasing the `concurrencyPolicy` to `Forbid`, but that hasn’t seemed to help. Additionally, I set resource requests and limits as follows: ```yaml resources: requests: memory: "128Mi" cpu: "500m" limits: memory: "256Mi" cpu: "1" ``` I read that GKE has certain limits on API requests and that the default quota can be exceeded if there are multiple jobs or other resources being created simultaneously. I also checked the `kubectl get events` but didn’t find any additional information. Could this be related to the overall load on my cluster or the number of resources being created at once? What approaches can I take to mitigate API rate limiting issues with my CronJob on GKE? Any insights would be greatly appreciated! This is part of a larger web app I'm building. Has anyone else encountered this? My development environment is Linux. What's the best practice here? I'm using Yaml 3.11 in this project. Thanks, I really appreciate it!