Exploring Cost-optimization for GKE Virtual Machines avis

Tarun Chandra Rao Y. · Examiné il y a 4 mois

Ayush Rajpoot O. · Examiné il y a 4 mois

ff_toxic_lover G. · Examiné il y a 4 mois

Isha Z. · Examiné il y a 4 mois

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Subhranil Maji G. · Examiné il y a 4 mois

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Wei Loon T. · Examiné il y a 4 mois

Harshit B. · Examiné il y a 4 mois

Naimish G. · Examiné il y a 4 mois

Sanskriti R. · Examiné il y a 4 mois

It was so good!

TUSSHAR M. · Examiné il y a 4 mois

Not running

Furqan G. · Examiné il y a 4 mois

Chiranjeeb P. · Examiné il y a 4 mois

Rudra B. · Examiné il y a 4 mois

Nicole H. · Examiné il y a 4 mois

YASH B. · Examiné il y a 4 mois

Sufi G. · Examiné il y a 4 mois

Pranav Z. · Examiné il y a 4 mois

Namrata G. · Examiné il y a 4 mois

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.

Ayan S. · Examiné il y a 4 mois

Pranjal S. · Examiné il y a 4 mois

Anjar H. · Examiné il y a 4 mois

Neha C. · Examiné il y a 4 mois