AWS Well-Architected Labs

Deploy The Blue Car Application

Mon, 31 May 2021 11:16:08 -0400

You will start by deploying the example application which allows a customer to order medical assistance based on selecting a map location. The application consists of a public AWS API gateway which connects to a serverless application layer AWS Lambda, which uses Amazon DynamoDB .

You will also deploy AWS Amplify to host the static website with CI/CD build-in and Amazon Cognito to manage users.

Our deployed architecture should reflect the following diagram:

Well-Architected Insights

Mon, 31 May 2021 11:16:08 -0400

Well-Architected Insights provides serverless developers with insights and recommendations to continually improve their applications and keep them secure, compliant, optimized, and efficient.

The second section of the lab will demonstrate how to automatically create a role in your AWS account, delegating read-only access to various services in your AWS account. Follow these steps to complete the configuration:

2.1. Account Onboarding to Dashbird.

If you are new to Dashbird, sign up for a free account in Dashbird.io. If you already have an account in Dashbird, go to 2.2.

Modern Load Test

Mon, 31 May 2021 11:16:08 -0400

The on-demand nature of the AWS Cloud allows for a production-scale test environment to be deployed in a matter of minutes.

While AWS serverless services allow for efficient scaling individually, it is important to consider the effect of Service Quotas at both region and account level. Ignoring these maximum limits can become immediately impactful to a production workload.

In this section we will perform load testing on our deployed Blue Car application to ensure that the architecture scales in alignment to the traffic which is being processed.

Tear down

Mon, 31 May 2021 11:16:08 -0400

The following steps will remove the services which are deployed in the lab.

1. Delete CloudFormation stacks

Go to aws-well-architected-labs/static/wapartners/100_Automating_Serverless_Best_Practices_with_Dashbird/Code/oncall-health-sample-app directory path and run teardown_script.sh.

cd aws-well-architected-labs/static/wapartners/100_Automating_Serverless_Best_Practices_with_Dashbird/Code/oncall-health-sample-app
bash teardown_script.sh

END OF SECTION 4

Create new S3 bucket and add objects to it

Fri, 24 Apr 2020 11:16:08 -0400

Create new S3 bucket

These steps will guide you to create a bucket

Go to the S3 console at https://console.aws.amazon.com/s3
Click Create bucket
For Bucket name supply a name. This must be unique across all buckets in AWS
- Tip: Name the bucket <first_name><last_initial>_<date in yyyymmdd format> (do NOT include the angle brackets)
Click Next three times
Review screen: click Create bucket

Add object(s) to an S3 bucket

Use these instructions to add one or more objects to an S3 bucket

example implementations for CreateNewCloudFormationStack

Fri, 24 Apr 2020 11:16:08 -0400

Case 1 - all parameters left as default
Case 2 - provides directions to update or view one or more parameters

Case 1 - all parameters left as default

Go to the AWS CloudFormation console at https://console.aws.amazon.com/cloudformation and click Create Stack > With new resources
Leave Prepare template setting as-is
- For Template source select Upload a template file
- Click Choose file and supply the CloudFormation template you downloaded: staticwebapp.yaml
Click Next

Setup AWS credentials and configuration

Fri, 24 Apr 2020 11:16:08 -0400

You will supply configuration and credentials used by the AWS CLI and AWS SDK to access your AWS account.

Choose an option

Select the appropriate option for configuration of your AWS credentials:

Option 1 - Using AWS instructor supplied accounts with Linux-style environment variables
Option 2 - Using AWS CLI
Option 3 - Creating configuration files manually
Option 4 - Using PowerShell commands for Windows

Option 1 For instructor supplied AWS accounts

If BOTH of the following are true then you may use Option 1

Software Install

Fri, 24 Apr 2020 11:16:08 -0400

This reference will help you install software necessary to setup your workshop environment

AWS CLI
jq

Install AWS CLI

The AWS Command Line Interface (AWS CLI) is a unified tool that provides a consistent interface for interacting with all parts of AWS.

Linux

This includes:
- AWS CloudShell
- All native Linux installs
- MacOS
- Windows Subsystem for Linux (WSL)
- Run the following command
```
$ aws --version
aws-cli/1.16.249 Python/3.6.8...
```
AWS CLI version 1.0 or higher is fine