This lab takes you through how to create an Amazon Elastic Block Store (EBS) volume, attach it to an Amazon EC2 instance, take a snapshot of the volume, and increase the size and IOPS.
This lab provides the basic hands-on experience of Amazon EC2 Auto Scaling -- setting up Auto Scaling to automatically launch compute instances in response to conditions that you specify. You will use Auto Scaling via the AWS console to create the basic infrastructure of a Launch Configuration and an Auto Scaling group. You will test the configuration by terminating a running instance and viewing the results as Auto Scaling responds by scaling up and starting another instance. For the lab to function as written, please DO NOT change the auto assigned region.
AWS Elastic Beanstalk provides a quick and easy way to deploy your web applications to the AWS cloud without requiring knowledge of the individual pieces that make up the infrastructure. This lab demonstrates the common steps of developing a web application and deploying it to production on AWS, using the EB command line interface. In this lab you will learn how to deploy a simple web application continuously using the Elastic Beanstalk Command Line Interface (EB CLI) in two ways, Rolling Deployment and Blue/Green Deployment. The lab also demonstrates many interesting command line tools to interact with, monitor, scale, and ssh into your running Elastic Beanstalk deployment completely from the command line. Prerequisites: for success with this lab, you should be familiar with systems administration of Linux servers, have comfort with Unix/Linux text editors, and should have at least taken the lab "Introduction to AWS Elastic Beanstalk".
The lab provides a basic understanding of Amazon Route 53. It will demonstrate the basic steps required to get started with Route 53, including creating, editing, and deleting simple DNS records within a Hosted Zone (HZ), and creating and testing simple health check and associated failover records. Prerequisites for this lab: basic understanding of IP networking, DNS addressing and host name resolution. Students should also have taken the following three labs at a minimum prior to taking this lab: 1) Introduction to Amazon Elastic Compute Cloud (EC2), 2) Introduction to Simple Storage Service (s3), and 3) Introduction to Amazon Virtual Private Cloud (VPC).For the lab to function as written, please DO NOT change the auto assigned region.
This lab will serve as an introduction to Kubeflow, an open-source project which aims to make running ML workloads on Kubernetes simple, portable and scalable.
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 website on Google Container Engine using Docker.
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.
This lab takes you through how to automatically distribute incoming web traffic across multiple Amazon EC2 instances by using Elastic Load Balancing. We walk you through the process to create a basic load balancer, configure health checks, assign security groups, and review settings for your load balancer. For a demonstration, go to: https://www.youtube.com/watch?v=oEcEqN8PeeI For the lab to function as written, please DO NOT change the auto assigned region.
In this lab, you will generate an Amazon Machine Learning model, test and shape the ML model and then try real-time predictions. To successfully complete this lab, you should be familiar with the Amazon S3 service. You should understand the concepts of bucket and object, and how to perform put and get operations on objects in an S3 bucket using the S3 console or AWS CLI. You should have at least taken the lab “Introduction to Amazon Simple Storage Service (S3)”. For the lab to function as written, please DO NOT change the auto assigned region.
This lab demonstrates how to use an Amazon S3 bucket and manage files, or object, that are stored in the bucket. You will practice how to create a bucket, add an object, view an object, move an object, and delete an object and bucket in the AWS Management Console.