On the 4.17 docs for Scalability and performance, it lists a few prometheus queries to check the rate of churn on the cluster. I used the queries listed in the UI of metrics in openshift console and they do not return any data 

Under 'Example scenario' title 

Rate of API calls, or the cluster “churn”, which is an estimation of how quickly things change in the cluster configuration.
- Prometheus query for pod creation requests per second over 5 minute windows: sum(irate(apiserver_request_count{resource="pods",verb="POST"}[5m]))
- Prometheus query for all API requests per second over 5 minute windows: sum(irate(apiserver_request_count{}[5m]))

https://docs.openshift.com/container-platform/4.17/scalability_and_performance/planning-your-environment-according-to-object-maximums.html#how-to-plan-according-to-application-requirements_object-limits

    

4.17
    

100%
    

    1. Create openshift 4.17 cluster
    2. Open console
    3. Go to metrics tab
    4. Insert query sum(irate(apiserver_request_count{}[5m])) 
    5. Observe no data points 
    

No data points are seen for query 
    

Data points and graph seen for prometheus query 
    

Need to change the prometheus query in some way. I believe the below query does the calls and returns a proper graph and results 

Update to: 

Prometheus query for pod creation requests per second over 5 minute windows:
sum(irate(apiserver_request_total{resource="pods",verb="POST"}[5m]))

Prometheus query for all API requests per second over 5 minute windows:
sum(irate(apiserver_request_total{}[5m]))