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GKE Workload Optimization

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GKE Workload Optimization

1시간 30분 크레딧 7개

GSP769

Google Cloud Self-Paced Labs

Overview

One of the many benefits of using Google Cloud is its billing model that bills you for only the resources you use. With that in mind, it's imperative that you not only allocate a reasonable amount of resources for your apps and infrastructure, but that you make the most efficient use of them. With GKE there are a number of tools and strategies available to you that can reduce the use of different resources and services while also improving your application's availability.

This lab will walk through a few concepts that will help increase the resource efficiency and availability of your workloads. By understanding and fine-tuning your cluster's workload, you can better ensure you are only using the resources you need and optimizing your cluster's costs.

What you'll do

  • Configure container-native load balancing for load balancing through ingress for more efficient routing to your pods

  • Walk through a single-pod load test of a Kubernetes application for understanding app load capacity

  • Configure a liveness probe for a Kubernetes application in order to define meaningful prerequisite conditions for automatic pod reboots

  • Configure a readiness probe for a Kubernetes application in order to ensure that traffic reaches the application endpoints successfully

  • Configure a Pod Disruption Budget for ensuring application availability

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  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
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