docker-development-youtube-series/kubernetes/autoscaling/components/autoscaler-hpa

Horizontal Pod Autoscaling

Scales the number of pods in a deployment based off metrics. Kubernetes documentation

Understanding Resources

In this example, I'll be focusing on CPU for scaling.
We need to ensure we have an understanding of the compute resources we have.

1. How many cores do we have
   
2. How many cores do our application use <br

scale and keep checking kubectl top

every time we add a pod, CPU load per pod should drop dramatically.

roughly 8 pods will have each pod use +- 400m

Deploy an autoscaler

# scale the deployment back down to 2
kubectl scale deploy/application-cpu --replicas 2

# deploy the autoscaler
kubectl autoscale deploy/application-cpu --cpu-percent=95 --min=1 --max=10

# pods should scale to roughly 7-8 to match criteria

kubectl describe hpa/application-cpu 
kubectl get hpa/application-cpu  -owide