Autoscaling of services in Kubernetes helps reducing the operation management of the cluster and reduce hardware costs. Until recently autoscaling of deployments was restricted using CPU and memory metrics but now we have the ability to define also custom metrics that drive the autoscaling. We'll use Prometheus as a backend for autoscaling and do a demo to see how it works.
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