Amazon DynamoDB Capacity Sizing

This lab provides you with a basic overview of different DynamoDB capacity modes and how to manage throughput capacity

Level

Intermediate

Duration

Course Objectives

In this course, you will learn how to:

• Generate sample test loads against your DynamoDB table using the AWS SDK for Python (Boto3)
• Remediate throttling errors by altering provisioned capacity settings with the AWS SDK
• Use Amazon CloudWatch DynamoDB metrics to view table capacity and throttling statistics
• Enable Auto Scaling on a DynamoDB table using the AWS SDK
• Explain how Amazon DynamoDB's capacity management modes can impact performance
  
  

Intended Audience

This course is intended for:

• Data Engineers
  
  

Prerequisites

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

• Familiar with basic navigation of the AWS Management Console and NoSQL database concepts.
• Familiar with Python programming language and be comfortable editing scripts using a text editor

Course Outline

• Task 1: Determine the capacity settings on a DynamoDB table using the AWS CLI
• Task 2: Generate a test load against your table and and monitor your performance
• Task 3: Use the AWS SDK to alter your provisioned capacity
• Task 4: Enable Auto Scaling on DynamoDB table and address throttling issues