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GKE workload rightsizing — from recommendations to action


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Do you know how to rightsize a workload in Kubernetes? If you’re not 100% sure, we have some great news for you! Today, we are launching a fully embedded, out-of-the-box experience to help you with that complex task. When you run your applications on Google Kubernetes Engine (GKE), you now get an end-to-end workflow that helps you discover optimization opportunities, understand workload specific resource request suggestions and, most importantly, act on those recommendations — all in a matter of seconds.

This workload optimization workflow helps rightsize applications by looking at Kubernetes resource requests and limits, which are often one of the largest sources of resource waste. Correctly configuring your resource requests can be the difference between an idle cluster and a cluster that has been downscaled in response to actual resource usage...

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