In this introductory-level quest, you will get hands-on practice with the Google Cloud Platform’s fundamental tools and services. GCP Essentials is Qwiklabs’ most popular quest and for good reason—you will come in with little, or no prior cloud knowledge and come out with practical experience that you can apply to any GCP project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine with load balancing, GCP Essentials is a prime introduction to the platform’s features. 1-minute videos walk you through key concepts for each lab.
In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
Kubernetes is the most popular container orchestration system and it was designed specifically with Google Cloud Platform integration in mind. In this advanced-level quest, you will get hands-on practice configuring Docker images and containers, deploying fully-fledged Kubernetes Engine applications, and integrating Slackbot and MongoDB databases with Kubernetes. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow.
The Google Cloud Platform is committed to supporting Windows workloads in its frameworks and services. In this advanced-level quest, you will get hands you hands-on practice running many of the popular Windows services in GCP. For example, you will learn how to instantiate Microsoft SQL databases, cloud tools for Powershell, and Microsoft’s ASP.net (web app framework) on Google Cloud Platform frameworks.
This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.
Learn how to deploy and administer databases running on Microsoft Windows Server in Amazon EC2 and Amazon RDS.
In this hands-on lab you'll learn how to use Google Cloud Platform's Marketplace to quickly get started with common operating systems, web frameworks, and databases. Watch the short preview Provision Services with GCP Marketplace, GCP Essentials.
This lab leads you through the steps to launch and configure your first Microsoft SQL Server instance on Amazon Relational Database Service (RDS). You will scale database instances, access the Amazon RDS instance via Microsoft SQL Server Management Studio, and configure Amazon CloudWatch and Amazon Simple Notification Service (SNS). At the end of this lab, you will have created a database in Amazon RDS and performed administrative operations, such as migrating a large database to Amazon RDS and database backup (snapshot) and restore (recover) operations.
This is part two of a three-part lab which teaches you how to create a "serverless" web app with an Amazon DynamoDB backend data store. In this second part of the lab, you will build upon the infrastructure created in part one. You will go on to create Lambda functions that interact with the DynamoDB table and add data, then build the necessary IAM roles and polices to support access to the functions and database via API Gateway. To successfully complete this lab, you should be familiar with DynamoDB, API Gateway, and IAM.
This lab takes you through the steps of creating a MySQL database using the Amazon Relational Database Service using the AWS Management Console, and then connecting to the database in AWS using the MySQL client running on an Amazon Linux instance, which the student also creates during the lab.