SPONSORS Speaker: Arek Borucki Company: Beamery Mastering Kubernetes Cost Optimization with KEDA and MongoDB 

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• Autoscaling • KEDA architecture • Scalers • RabbitMQ, MongoDB • Demo Agenda 

LET’S GET STARTED 

Autoscaling • Dynamically adjust resources • Reduce Kubernetes Costs • K8s built-in autoscaling mechanisms 1. HPA - increase or decrease replicas 2. Cluster autoscaling 3. VPA - Recommender 

KEDA • Kubernetes Event Driven Autoscaling • CNCF incubation project • scaling containers based on the trigger • allows scaling to/from zero • K8s operator - add into any K8s cluster • KEDA works alongside with HPA 

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CRD 

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if deployment should be activated or deactivated 

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Job Application 

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SUMMARY • Autoscaling significant reduce cost! • HPA, VPA, Cluster Autoscaler • KEDA can use custom metrics for a specific event source. • Create an index on query pattern SUMMARY • Autoscaling reduces cost • HPA, VPA, Cluster Autoscaler • KEDA uses custom metrics for a specific event source • KEDA is pro-active and dynamic • Create an index on query pattern 

SUMMARY • Autoscaling significant reduce cost! • HPA, VPA, Cluster Autoscaler • KEDA can use custom metrics for a specific event source. • Create an index on query pattern SUMMARY • Autoscaling significant reduce cost! • HPA, VPA, Cluster Autoscaler • KEDA use custom metrics for a specific event source. • KEDA is pro-active and dynamic • Create an index on query pattern THANK YOU