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$ kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=1020 $ kubectl scale deploy infinite-calls --replicas=2 $ kubectl get hpa --watch NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE php-apache Deployment/php-apache 0%/50% 1 10 20 1 41m11m # Starting the workload php-apache Deployment/php-apache 207%119%/50% 1 1020 1 42m11m php-apache Deployment/php-apache 207%119%/50% 1 1020 3 4 42m11m php-apache Deployment/php-apache 207%180%/50% 1 1020 3 5 43m12m php-apache Deployment/php-apache 55%180%/50% 1 1020 6 5 43m12m php-apache Deployment/php-apache 57%180%/50% 1 1020 11 5 44m13m php-apache Deployment/php-apache 57%51%/50% 1 1020 611 44m13m # Beginning of the plateau php-apache Deployment/php-apache 44%49%/50% 1 20 11 10 14m php-apache Deployment/php-apache 52%/50% 1 20 6 11 45m15m php-apache Deployment/php-apache 45%50%/50% 1 10 20 11 16m php-apache Deployment/php-apache 51%/50% 1 20 6 11 46m17m php-apache Deployment/php-apache 47%50%/50% 1 20 11 18m php-apache Deployment/php-apache 48%/50% 1 10 20 6 11 47m19m php-apache Deployment/php-apache 47%50%/50% 1 1020 11 6 48m20m php-apache Deployment/php-apache 44%49%/50% 1 1020 611 49m21m php-apache Deployment/php-apache 45%49%/50% 1 1020 11 6 23m # End of 50mthe plateau php-apache Deployment/php-apache 47%24%/50% 1 1020 611 51m24m php-apache Deployment/php-apache 46%0%/50% 1 1020 611 52m25m php-apache Deployment/php-apache 0%/50% 1 20 11 10 29m php-apache Deployment/php-apache 0%/50% 1 20 6 6 53m # End of the plateau29m php-apache Deployment/php-apache 0%/50% 1 10 20 6 58m30m php-apache Deployment/php-apache 0%/50% 1 1020 1 58m30m # End of workload |
We note that the reaction time of the cluster, from the rest position to the plateau and vice versa, is about 4-5 minutes. Of course, the same behavior can also be seen by analyzing the metrics obtained by Grafana (the stress namespace is the one used for our tests).