How To Autoscale Your Workloads on DigitalOcean Kubernetes
Source:-digitalocean.com When working with an application built on Kubernetes, developers will often need to schedule additional pods to handle times of peak traffic or increased load processing. By default, scheduling these additional pods is a manual step; the developer must change the number of desired replicas in the deployment object to account for the increased traffic, then change it back when the additional pods are no longer needed. This dependency on manual intervention can be less than ideal in many scenarios. For example, your workload could hit
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