Exploring Cost-optimization for GKE Virtual Machines Reviews

Tarun Chandra Rao Y. · Reviewed 4 ay ago

Ayush Rajpoot O. · Reviewed 4 ay ago

ff_toxic_lover G. · Reviewed 4 ay ago

Isha Z. · Reviewed 4 ay ago

Pranathi C. · Reviewed 4 ay ago

Subhranil Maji G. · Reviewed 4 ay ago

Kavin R. · Reviewed 4 ay ago

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Harshit B. · Reviewed 4 ay ago

Naimish G. · Reviewed 4 ay ago

Sanskriti R. · Reviewed 4 ay ago

It was so good!

TUSSHAR M. · Reviewed 4 ay ago

Not running

Furqan G. · Reviewed 4 ay ago

Chiranjeeb P. · Reviewed 4 ay ago

Rudra B. · Reviewed 4 ay ago

Nicole H. · Reviewed 4 ay ago

YASH B. · Reviewed 4 ay ago

Sufi G. · Reviewed 4 ay ago

Pranav Z. · Reviewed 4 ay ago

Namrata G. · Reviewed 4 ay ago

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. · Reviewed 4 ay ago

Pranjal S. · Reviewed 4 ay ago

Anjar H. · Reviewed 4 ay ago

Neha C. · Reviewed 4 ay ago