Optimize Costs for Google Kubernetes Engine
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This lab explores best practices in managing and monitoring a multi-tenant cluster in order to optimize your costs.
In this hands-on lab, you’ll learn how to determine and select the the most cost effective machine type for a GKE application. You will also explore the pros and cons of a multi-zonal cluster.
In this lab you will explore the benefits of different Google Kubernetes Engine autoscaling strategies, like Horizontal Pod Autoscaling and Vertical Pod Autoscaling for pod-level scaling, and Cluster Autoscaler and Node Auto Provisioning for node-level scaling.
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.
This lab offers a series of challenges that involve deploying, scaling, and maintaining a cluster application while optimizing resource usage.