Build Custom Reports of AWS Well-Architected Framework Reviews

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In this lab, you use an AWS Lambda function to extract the data from AWS WA Tool workloads and store it in an Amazon Simple Storage Service (Amazon S3) bucket. You then use AWS Glue to catalog the workload data, and use Amazon Athena. Finally, you create an Amazon QuickSight dashboard to easily visualize the data, based on Athena queries.

Level

Advanced

Duration

1 Hours 0 Minutes

Course Objectives

By the end of this lab, you should be able to do the following:

• Extract workload data using AWS Lambda.
• Catalog workload data using AWS Glue.
• Query the workload data using Amazon Athena.
• Visualize the workload data using Amazon QuickSight.

Intended Audience

This course is intended for:

• Developers
• Architects
• Infrastructure Engineers

Prerequisites

We recommend that attendees of this course have the following prerequisites:

To successfully complete this lab, you should have a working knowledge of the AWS Well-Architected Tool, using SQL commands to query a database, and AWS Lambda with Python code. You should be comfortable with navigating the AWS Management Console.

Course Outline

• Task 1: Extract workload data
• Task 2: Catalog workload data
• Task 3: Query workload data
• Task 4: Visualize workload data