Como explorar a otimização de custos para máquinas virtuais do GKE avaliações

Tarun Chandra Rao Y. · Revisado há 4 months

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It was so good!

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Not running

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You explored cost-optimization for Virtual Machines that are part of a GKE cluster. First, by migrating a workload to a node pool with a better fitted machine type. Then by building an understanding of the pros and cons of different regions And Finally by moving a chatty pod within a regional cluster to always be in the same zone as the pod it was communicating with. This lab has shown you cost effective tools and strategies for GKE VMs, but optimizing your virtual machines means first understanding your application and its needs. Knowing what kinds of workloads you will be running and estimating your application's demands will almost always influence the decision as to which location and machine type will be most effective for the virtual machines underlying your GKE cluster. Efficient utilization of your cluster's infrastructure will go a long way toward optimizing your costs.

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