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Kubernetes (down)scaling: combining autoscalers for minimal resource allocations

Learnk8s with Salman Iqbal

You can reduce costs by turning off workloads when you don’t need them. For example, you might want to avoid running any workload in a dev cluster during the evening and reduce the number of worker nodes. Or you could run a web service only where there are actual requests. In all of those cases, you need to balance the need to scale the number of replicas and worker nodes.

In this webinar, you will learn:

  • How you can scale your workloads with the horizontal autoscaler.
  • How the cluster autoscaler works (e.g. the autoscaler does not look at memory and CPU).
  • How to combine the horizontal and cluster autoscaler to expand and shrink your cluster nodes efficiently.

Date: Thursday, September 28, 2023

Time: 11:00 AM Eastern Daylight Time

Duration: 1 hour, 15 minutes

About the Host:

Salman is a Learnk8s instructor and holds both the CKA and CKAD certifications. Salman has extensive experience in scaling data and machine learning pipelines using Kubernetes. Salman has trained hundreds of engineers all over the world (from sunny California to cold Finland).

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