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Google Cloud Platform API Infrastructure Automation Overview In this lab, you build your own global IaaS Hadoop cluster deployment service based on open-source software. The service gives you a reliable and secure way to deploy any size Hadoop Cluster in any GCP region in minutes. To accomplish this, you create an IAM service account with the role of Project Editor. You authorize and initialize the Google Cloud SDK on a VM. Then you "bake" that authority into a reusable snapshot that can reconstitute the "clustermaker" VM in any GCP region. The clustermaker VM is a micro type machine with just enough capacity to do the work needed to create and deploy Hadoop clusters using the Google Cloud SDK. The clustermaker VM must be able to use the Google Cloud API. To do this, you create an IAM service account with a Project Editor role, download the private key, and copy it to the VM. Then you go through an authorization and initialization process on the VM. Y

Autoscaling Overview Managed instance groups offer autoscaling capabilities that allow you to automatically add or remove instances from a managed instance group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower. You just define the autoscaling policy, and the autoscaler performs automatic scaling based on the measured load. Autoscaling works by scaling your instance group in or out. That is, it adds more instances to your instance group when there is more load (scaling out) and removes instances when the need for instances is lowered (scaling in). Objectives In this lab, you learn how to perform the following tasks: Create a custom image for a web server Create an instance template based on the custom image Create a managed instance group Create a load balancer Stress test the autoscaler What you'll need To complete this lab, you'll