6 Steps 3 hours 27 Credits
AWS provides a set of on-demand storage, archive, transcoding, and streaming services for businesses that are running photo, video, and file storage applications in the cloud. In this quest, you’ll learn to work with foundational services for digital media on AWS.
Objectives:This quest is designed to teach you how to work with AWS services to store, manage, and share digital media on the cloud.
warning Introduction to Amazon EC2
This lab provides you with a basic overview of launching, resizing, managing, and monitoring an Amazon EC2 instance. Please DO NOT change the auto assigned region.
warning Introduction to Amazon DynamoDB
This lab teaches you about Amazon DynamoDB and walks you through how to create, query, view and delete a table in the AWS Management Console. For a demonstration, go to: https://www.youtube.com/watch?v=ujWV3-m1pLo For the lab to function as written, please DO NOT change the auto assigned region.
warning Working with Elastic Load Balancing
This lab introduces the concept of Elastic Load Balancing (ELB). In this lab you will use ELB to load balance a set of web servers in an Availability Zone. You will launch a pair of Amazon EC2 instances, bootstrap them to install web servers and content, and then access the instances independently using Amazon EC2 DNS records. Next, you will set up ELB, add your instances to the ELB, and then access the ELB DNS record to watch your requests load balance between servers. Finally, you will look at ELB metrics in CloudWatch. To successfully complete this lab, you should be familiar with the AWS Management Console.
warning Using Open Data with Amazon S3
warning Maintaining High Availability with Auto Scaling (for Linux)
This lab introduces the basics of Auto Scaling, highlighting multiple Auto Scaling use cases and the command-line tools used for Auto Scaling configuration. After completing this lab you will have configured and tested an elastic web farm which automatically scales capacity to accommodate load. In addition you will have explored a steady state use case in which Auto Scaling is used to maintain high availability of critical resources.