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Scaling containers with keda
The document discusses auto-scaling containers using Kubernetes and related tools by Nilesh Gule. It details methods for scaling Kubernetes objects, comparisons of various scaling techniques, and the integration of event-driven autoscaling with Azure services. The content also includes practical demonstrations, code examples, and links to additional resources for learning more about these topics.
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Scaling containers with keda
- 1. Auto-Scaling containers with NileshGule @nileshgule | www.HandsOnArchitect.com
- 2. $whoami { “name” : “NileshGule”, “website” : “https://www.HandsOnArchitect.com", “github” : “https://github.com/NileshGule" “twitter” : “@nileshgule”, “linkedin” : “https://www.linkedin.com/in/nileshgule”, “email” : “nileshgule@gmail.com", “likes” : “Technical Evangelism, Cricket” }
- 6. Pros Cons Scale k8sobjects: Kubectl scale –replicas=3 processor-deployment.yml Kubectl scale –replicas=3 deployment/rabbitmq-consumer Scale AKS cluster: az aks scale --resource-group myResourceGroup --name myAKSCluster --node-count 5 --nodepool-name <your node pool name>
- 7. Pros Cons kubectl autoscaledeployment php-apache --cpu-percent=50 --min=1 --max=10
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- 14. Azure Event Hub AzureService Bus Queues and Topics Azure Storage Queues Kafka Prometheus RabbitMQ Redis Lists Liiklus NATS AWS CloudWatch AWS Simple Queue Service GCP PubSub Integrates with Azure functions
- 15. Demo Autoscaling Storage Queueconsumer with ACI
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- 17. apiVersion: keda.k8s.io/v1alpha1 kind: ScaledObject metadata: name:hello-keda namespace: default labels: deploymentName: hello-keda spec: scaleTargetRef: deploymentName: hello-keda pollingInterval: 5 # Optional. Default: 30 seconds maxReplicaCount: 15 # Optional. Default: 100 triggers: - type: azure-queue metadata: name: myQueueItem type: queueTrigger direction: in queueName: js-queue-items connection: AzureWebJobsStorage
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- 21. apiVersion: keda.k8s.io/v1alpha1 kind: ScaledObject metadata: name:rabbitmq-consumer namespace: default labels: deploymentName: rabbitmq-consumer spec: scaleTargetRef: deploymentName: rabbitmq-consumer pollingInterval: 5 # Optional. Default: 30 seconds cooldownPeriod: 30 # Optional. Default: 300 seconds minReplicaCount: 1 # Optional. Default: 0 maxReplicaCount: 30 # Optional. Default: 100 triggers: - type: rabbitmq metadata: queueName: hello host: 'amqp://user:PASSWORD@rabbitmq.default.svc.cluster.local:5672’ queueLength : '5'
- 22. AKS cluster-autoscalar Virtual Node Horizontalpod autoscale virtual kubelet KEDA Azure Function with Queue
- 25. Thank you verymuch Code with Passion and Strive for Excellence https://github.com/NileshGule/AKS-learning-series https://github.com/NileshGule/pd-tech-fest-2019 https://github.com/NileshGule/sample-dotnet-core-rabbitmq-keda https://www.slideshare.net/nileshgule/presentations https://speakerdeck.com/nileshgule/
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