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Exploring Cost-optimization for GKE Virtual Machines

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Exploring Cost-optimization for GKE Virtual Machines

1 jam 30 menit 7 Kredit

GSP767

Google Cloud Self-Paced Labs

Overview

The underlying infrastructure of a Google Kubernetes Engine cluster is made up of nodes which are individual Compute VM instances. This lab shows how optimization of your cluster's infrastructure can help save costs and lead to a more efficient architecture for your applications.

You will learn strategy to help maximize utilization (and avoid underutilization) of your valuable infrastructure resources through selecting properly shaped machine types for an example workload. In addition to the type of infrastructure you’re using, the physical geographical location of that infrastructure also impacts cost. Through this exercise, you will explore how to create a cost effective strategy for managing higher availability regional clusters.

What you'll do

  • Examine Resource Usage of a Deployment
  • Scale Up a Deployment
  • Migrate Your Workload to a Node Pool with an Optimized Machine Type
  • Explore Location Options for your Cluster
  • Monitor Flow Logs between Pods in Different Zones
  • Move a Chatty Pod to Minimize Cross-Zonal Traffic Costs

Prerequisites

  • Familiarity with Virtual Machines be helpful

Bergabunglah dengan Qwiklabs untuk membaca tentang lab ini selengkapnya... beserta informasi lainnya!

  • Dapatkan akses sementara ke Google Cloud Console.
  • Lebih dari 200 lab mulai dari tingkat pemula hingga lanjutan.
  • Berdurasi singkat, jadi Anda dapat belajar dengan santai.
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