探索如何讓 GKE 虛擬機器發揮最佳成本效益 Reviews

Tarun Chandra Rao Y. · Reviewed 4 months ago

Ayush Rajpoot O. · Reviewed 4 months ago

ff_toxic_lover G. · Reviewed 4 months ago

Isha Z. · Reviewed 4 months ago

Pranathi C. · Reviewed 4 months ago

Subhranil Maji G. · Reviewed 4 months ago

Kavin R. · Reviewed 4 months ago

Catherin selva C. · Reviewed 4 months ago

Wei Loon T. · Reviewed 4 months ago

Harshit B. · Reviewed 4 months ago

Naimish G. · Reviewed 4 months ago

Sanskriti R. · Reviewed 4 months ago

It was so good!

TUSSHAR M. · Reviewed 4 months ago

Not running

Furqan G. · Reviewed 4 months ago

Chiranjeeb P. · Reviewed 4 months ago

Rudra B. · Reviewed 4 months ago

Nicole H. · Reviewed 4 months ago

YASH B. · Reviewed 4 months ago

Sufi G. · Reviewed 4 months ago

Pranav Z. · Reviewed 4 months ago

Namrata G. · Reviewed 4 months 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 months ago

Pranjal S. · Reviewed 4 months ago

Anjar H. · Reviewed 4 months ago

Neha C. · Reviewed 4 months ago