I'm currently trying to deploy a backend service API for my application in Openshift, which needs to be scalable such that each of the request has to run in a new pod.
Service will take 5 minutes to serve single request. I have to hit the service for 700 times.
Is there a way I can create 700 pods to serve the 700 request and scaled down it to 1 after all the requests are completed ?
Start of the application: 1 pod <- 700 requests
Serving: 700 pod serves one request each
End of the application: 1 pod
Autoscaling in Kubernetes relies on metrics. From what I know Openshift supports CPU and Memory utilization.
But I don't think this is what you are looking for.
I think you should be looking into Jobs - Run to Completion.
Each request will spawn a new Job which will run until it's completed.
Example:
apiVersion: batch/v1
kind: Job
metadata:
name: pi
spec:
template:
spec:
containers:
- name: pi
image: perl
command: ["perl", "-Mbignum=bpi", "-wle", "print bpi(2000)"]
restartPolicy: Never
backoffLimit: 4This will run a job which computes π to 2000 places and prints it out.