KEDA - Kubernetes Event-Driven Autoscaling

Örnek

Şöyle yaparız

apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: reactive-springboot-app-scaler
  namespace: default
spec:
  scaleTargetRef:
    name: reactive-springboot-app
  triggers:
    - type: rabbitmq
      metadata:
        queueName: orderQueue
        host: RabbitMQ_HOST
        queueLength: "5"

Açıklaması şöyle

KEDA will monitor the queue, and once the queue length exceeds the threshold (5 messages), KEDA will scale the Spring Boot application. You can check the scaling activity with:

kubectl get hpa

This command will show the scaling activity based on the queue length.

Kubernetes vs NoHashicorp Nomad

Bir yazı burada

Kubernetes kind: Cluster

Örnek

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apiVersion: cluster.k8s.io/v1alpha1
kind: Cluster
metadata:
  name: my-cluster
spec:
  autoscaler:
    enabled: true
    options:
      - key: balance-similar-node-groups
        value: true
      - key: expander
        value: least-waste

Açıklaması şöyle

This configuration enables the cluster autoscaler and sets it to balance similar node groups and use the least-waste expander, which helps in utilizing the reserved instances more effectively. 

kubectl describe ingress seçeneği

Giriş

Açıklaması şöyle

This command shows configuration details and associated events. Look for configuration errors, missing SSL certificates, or routing issues.

Söz dizimi şöyle

kubectl describe ingress <ingress-name> -n <namespace-name>

kubectl describe node seçeneği

Giriş

Açıklaması şöyle

This command provides details on why a node might be NotReady, such as memory issues, disk pressure, or taints not tolerated by the pods, pods running on the nodes, label... It’s a powerful command that will help you to get detailed informations about nodes.

kubectl cluster-info seçeneği

Cluster bilgisini gösterir

Cluster Propotional Autoscaler - ReplicaSet Ekler/Siler

Giriş

Açıklaması şöyle

CPA aims to horizontally scale the number of Pod replicas based on the cluster’s scale. A common example is DNS services. CPA can dynamically adjust the number of DNS instances based on the current cluster scale, which can be either the number of nodes or the overall CPU capacity.