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SCALING PODS SCALING NODES
Metrics Server is a scalable, efficient source of
container resource metrics for Kubernetes
built-in autoscaling pipelines.
Metrics Server is not meant
for non-autoscaling purposes.
For example, don't use it to forward metrics to
monitoring solutions, or as a source of monitoring
solution metrics.
kubectl get --raw “/apis/metrics.k8s.io/v1beta1” | jq ‘.’
kubectl get --raw “/apis/custom.metrics.k8s.io/v1beta1” | jq ‘.’
From now on,
contains not only the data from
the Metrics Server but also those from
the Prometheus Adapter (for example)
which, in turn, is fetching metrics from
Prometheus Server.
Kubernetes Event-driven
Autoscaling
AGENT
KEDA activates and
deactivates Kubernetes
Deployments to scale to
and from zero on no
events.
METRICS
KEDA acts as a Kubernetes
metrics server that exposes
rich event data like queue
length or stream lag to the
Horizontal Pod Autoscaler to
drive scale out
ScaledObject
Register + Trigger and
scaling definition
1 -> n or n -> 1 0 -> 1 or 1 -> 0
External trigger source
az aks update 
--enable-cluster-autoscaler 
--min-count 1 --max-count 3 
...
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Scale your (aks) cluster, luke!

  • 3.
  • 4.
  • 5.
  • 6. Metrics Server is a scalable, efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines. Metrics Server is not meant for non-autoscaling purposes. For example, don't use it to forward metrics to monitoring solutions, or as a source of monitoring solution metrics.
  • 7.
  • 8.
  • 9. kubectl get --raw “/apis/metrics.k8s.io/v1beta1” | jq ‘.’
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. kubectl get --raw “/apis/custom.metrics.k8s.io/v1beta1” | jq ‘.’
  • 15.
  • 16. From now on, contains not only the data from the Metrics Server but also those from the Prometheus Adapter (for example) which, in turn, is fetching metrics from Prometheus Server.
  • 17.
  • 18. Kubernetes Event-driven Autoscaling AGENT KEDA activates and deactivates Kubernetes Deployments to scale to and from zero on no events. METRICS KEDA acts as a Kubernetes metrics server that exposes rich event data like queue length or stream lag to the Horizontal Pod Autoscaler to drive scale out
  • 19.
  • 20.
  • 21. ScaledObject Register + Trigger and scaling definition 1 -> n or n -> 1 0 -> 1 or 1 -> 0 External trigger source
  • 22.
  • 23.
  • 24.
  • 25. az aks update --enable-cluster-autoscaler --min-count 1 --max-count 3 ...
  • 26.
  • 27.