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Event Driven Scaling with
KEDA & AKS
Ronak Banka

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HELLO!
I am Ronak Banka
Senior Solutions Architect with
VMware, Singapore
▸ Loves Kubernetes, Cloud &
Containers
▸ SRE practitioner
▸ Loves Cooking
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@ronakbanka
https://devstack.in

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Agenda
▸ Why AutoScaling?
▸ Scaling options in K8s
▸ What is KEDA?
▸ KEDA Architecture Overview
▸ Demo
▸ Scaling using Prometheus metrics
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Why AutoScaling?

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Scaling Options in k8s

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Scaling options
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● Manual Scaling
● Horizontal pod Autoscaler (HPA)
● Virtual Nodes
● Event Driven Scaling

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▸ This type of Scaling depends on human action to scale the
application
$ Kubectl scale deployment/my-app --replicas=2
Similar operation can be done for cluster Autoscaling using az cli
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Manual Scaling

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▸ This type of Scaling depends on system metrics to scale the
application
$ Kubectl autoscale deployment/my-app --max=5 --cpu-percent=80
Limited by metric types which can be used out of the box
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Horizontal pod Autoscaler (HPA)

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▸ This type of Scaling implements Virtual Kubelet in AKS cluster.
▸ Azure container instances(ACI) are responsible for running extra
pods without any additional infrastructure required.
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Virtual Nodes

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Virtual Nodes

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▸ This type of Scaling can use metrics from different sources.
▸ Uses HPA in backend for actual scaling
▸ Can be used in combination with Virtual Node
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Event Driven Scaling

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What is KEDA?

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KEDA is a Kubernetes-based Event Driven Autoscaler

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KEDA works alongside standard Kubernetes components like the Horizontal
Pod Autoscaler and can extend functionality without overwriting or
duplication.
Roles of Keda-operator:
▸ 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
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How does KEDA works?

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KEDA Architecture
ScaledObjects: Desired mapping
between an event source and the
Kubernetes Deployment
External trigger source:
Prometheus, Kafka, RabbitMQ, etc
Scaler: Detect if a deployment
should be activated or deactivated,
and feed custom metrics for a
specific event source
Metrics adapter: Presents metrics
from external sources to the
Horizontal Pod Autoscaler

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KEDA Scalers

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DEMO TIME

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THANKS!
Any questions?
You can find me at:
▸ @ronakbanka on Twitter
▸ Check my Blog on https://devstack.in