Google Cloud Solutions I: Scaling Your Infrastructure

8 hours Advanced universal_currency_alt 37 Credits

In this advanced-level quest, you will learn how you to harness serious Google 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.

Badge for Google Cloud Solutions I: Scaling Your Infrastructure

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Lab

Autoscaling an Instance Group with Custom Cloud Monitoring Metrics

This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metric

Lab

Setting up Jenkins on Kubernetes Engine

This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.

Lab

Continuous Delivery Pipelines with Spinnaker and Kubernetes Engine

Create a Kubernetes Engine cluster, deploy an application, and use Spinnaker to continuously deploy the application when changes are made to the application.

Lab

Deploying a Fault-Tolerant Microsoft Active Directory Environment

In this Qwiklab, you set up a redundant pair of Windows Domain Controllers (DC) with AD using a new Virtual Private Cloud (VPC) network and multiple subnets on Google Cloud Platform (GCP).

Lab

Deploying Memcached on Kubernetes Engine

In this lab you'll learn how to deploy a cluster of distributed Memcached servers on Kubernetes Engine using Kubernetes, Helm, and Mcrouter.

Lab

Running Dedicated Game Servers in Google Kubernetes Engine

This lab will show you how to use an expandable architecture for running a real-time, session-based multiplayer dedicated game server using Kubernetes on Google Container Engine.

Lab

Distributed Load Testing Using Kubernetes

Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

info

Quest Info

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.

Available languages

English

What do I do when I finish this quest?

After finishing this quest, you can explore additional content in your learning path or browse the learning catalog.

What badges can I earn?

Upon finishing a quest, you will earn a badge of completion. Some quests test your ability to apply your knowledge via a final assessment challenge lab. For these quests, you will receive a skill badge. Badges can be viewed on your profile and shared with your social network.

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