In this hands-on lab you learn how to create a gaming leaderboard using a Cloud Spanner database table with a commit timestamp column.
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.
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 a SQL client running on a Microsoft Windows server, also provided in the lab environment. For a demonstration, go to: https://www.youtube.com/watch?v=Kz1zmyHw9G0
This lab will demonstrate how to deploy a photo sharing website with a web interface for users to browse and store images. The application, written in Ruby on Rails, will use Amazon S3 for storage, Amazon DynamoDB for the database, and Amazon EC2 to host the web application.
This lab shows how to perform basic operations in Cloud Spanner using the Google Cloud Platform Console. Watch the short video Get a Highly Consistent, Scalable Database Service with Cloud Spanner.
This lab will show you how to launch a Drupal Open Souce Content Management System (CMS) with Amazon Relational Database (Amazon RDS) for MySQL as the backend database with a multi-Availability Zone (AZ) deployment.
Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.
Your challenge is to migrate the database to Google Cloud SQL and then reconfigure the application so that it no longer relies on the local MySQL database.
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. In this lab you'll use Bigtable with the cbt command line. Watch the short video Bigtable: Qwik Start - Qwiklabs Preview.
This lab leads you through the steps to perform basic audits of core AWS resources. You will use the AWS Management Console to understand how to audit the use of multiple AWS services, Amazon EC2, Amazon VPC, Amazon IAM, Amazon Security Groups, AWS CloudTrail and AWS CloudWatch. This lab will help you understand how you can extend your existing auditing objectives related to organizational Governance, Asset Configuration, Logical Access Controls, Operating Systems, Databases and Applications security configurations within AWS. The skills learned will help provide visibility; testability and automated audit evidence gather capabilities.