Google Cloud Solutions I: Scaling Your Infrastructure
Expert 7 Steps 8 hours 53 Credits
In this advanced-level quest, you will learn how you to harness serious Gootle Cloud power and infrastructure. The hands-on labs will give you use cases, and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
Prerequisites:This Quest expects solid hands-on proficiency with Google Cloud workflows and processes, especially those involving multiple services working together. It is recommended that the student have at least earned a badge by completing the hands-on labs in the Kubernetes Solutions and Networking in the Google Cloud Quests before beginning. Additional experience with the labs in the Cloud Architecture Quest will also be useful.
This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metric
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Create a Kubernetes Engine cluster, deploy an application, and use Spinnaker to continuously deploy the application when changes are made to the application.
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Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.