GKE Workload Optimization

About this course

This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container-native load balancing, application load testing, readiness and liveness probes, and pod disruption budgets.

What you will learn

• Increase the resource efficiency and availability of your workloads through fine-tuning your cluster's workload and optimize cluster's costs.