探索如何讓 GKE 虛擬機器發揮最佳成本效益 Reviews

32788 reviews

Sanskriti R. · Reviewed 6 months ago

It was so good!

TUSSHAR M. · Reviewed 6 months ago

Not running

Furqan G. · Reviewed 6 months ago

Chiranjeeb P. · Reviewed 6 months ago

Rudra B. · Reviewed 6 months ago

Nicole H. · Reviewed 6 months ago

YASH B. · Reviewed 6 months ago

Sufi G. · Reviewed 6 months ago

Pranav Z. · Reviewed 6 months ago

Namrata G. · Reviewed 6 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 6 months ago

Pranjal S. · Reviewed 6 months ago

Anjar H. · Reviewed 6 months ago

Neha C. · Reviewed 6 months ago

Yug P. · Reviewed 6 months ago

not working

Akruti S. · Reviewed 6 months ago

Anushka S. · Reviewed 6 months ago

Palak G. · Reviewed 6 months ago

Not a good lab, there are bugs in the last step.

Darpan Tushar K. · Reviewed 6 months ago

ABHISHEK S. · Reviewed 6 months ago

Dushyanth C. · Reviewed 6 months ago

Nomesh K. · Reviewed 6 months ago

Shivi G. · Reviewed 6 months ago

shah krisha G. · Reviewed 6 months ago

Nishmith K. · Reviewed 6 months ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.