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$ kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=20
$ 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 20 1 9m42s # Starting the workload
php-apache Deployment/php-apache 250%/50% 1 20 1 10m
php-apache Deployment/php-apache 250%/50% 1 20 4 10m
php-apache Deployment/php-apache 250%/50% 1 20 5 10m
php-apache Deployment/php-apache 115%/50% 1 20 5 11m
php-apache Deployment/php-apache 115%/50% 1 20 10 11m
php-apache Deployment/php-apache 56%/50% 1 20 10 12m
php-apache Deployment/php-apache 56%/50% 1 20 10 13m
php-apache Deployment/php-apache 56%/50% 1 20 12 13m
php-apache Deployment/php-apache 47%/50% 1 20 12 14m # Beginning of the plateau
php-apache Deployment/php-apache 45%/50% 1 20 12 15m
php-apache Deployment/php-apache 44%/50% 1 20 12 16m
php-apache Deployment/php-apache 45%/50% 1 20 12 17m
php-apache Deployment/php-apache 47%/50% 1 20 12 18m
php-apache Deployment/php-apache 46%/50% 1 20 12 19m
php-apache Deployment/php-apache 45%/50% 1 20 12 20m
php-apache Deployment/php-apache 46%/50% 1 20 12 21m
php-apache Deployment/php-apache 46%/50% 1 20 12 22m
php-apache Deployment/php-apache 45%/50% 1 20 12 24m
php-apache Deployment/php-apache 45%/50% 1 20 12 25m
php-apache Deployment/php-apache 45%/50% 1 20 12 26m # End of the plateau
php-apache Deployment/php-apache 0%/50% 1 20 12 27m
php-apache Deployment/php-apache 0%/50% 1 20 12 32m
php-apache Deployment/php-apache 0%/50% 1 20 1 32m # End the workload |
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$ k autoscale deployment php-apache --cpu-percent=50 --min=1 --max=20 $ k 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 20 1 35m # Starting the workload php-apache Deployment/php-apache 251%/50% 1 20 1 36m php-apache Deployment/php-apache 251%/50% 1 20 4 36m php-apache Deployment/php-apache 251%/50% 1 20 6 36m php-apache Deployment/php-apache 89%/50% 1 20 6 37m php-apache Deployment/php-apache 89%/50% 1 20 9 37m php-apache Deployment/php-apache 62%/50% 1 20 9 38m php-apache Deployment/php-apache 62%/50% 1 20 12 38m php-apache Deployment/php-apache 47%/50% 1 20 12 39m # Beginning of the plateau php-apache Deployment/php-apache 45%/50% 1 20 12 40m php-apache Deployment/php-apache 47%/50% 1 20 12 41m php-apache Deployment/php-apache 45%/50% 1 20 12 42m php-apache Deployment/php-apache 46%/50% 1 20 12 43m php-apache Deployment/php-apache 45%/50% 1 20 12 44m php-apache Deployment/php-apache 46%/50% 1 20 12 45m php-apache Deployment/php-apache 47%/50% 1 20 12 46m php-apache Deployment/php-apache 45%/50% 1 20 12 47m php-apache Deployment/php-apache 45%/50% 1 20 12 48m php-apache Deployment/php-apache 45%/50% 1 20 12 49m php-apache Deployment/php-apache 45%/50% 1 20 12 50m # End of the plateau php-apache Deployment/php-apache 0%/50% 1 20 12 51m php-apache Deployment/php-apache 0%/50% 1 20 12 56m php-apache Deployment/php-apache 0%/50% 1 20 1 56m # 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, regardless of the flavor used. 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).
