Reserved capacity in DynamoDB - Mini Project: Build & Apply

Reserved Capacity Management in DynamoDB

📖 Scenario: You are managing a DynamoDB table for an online store. To save costs and improve performance, you want to reserve capacity units for your table.

🎯 Goal: Build a simple DynamoDB reserved capacity setup by defining a table with provisioned throughput and then configuring reserved capacity units.

📋 What You'll Learn

Create a DynamoDB table named Products with a primary key ProductID of type string

Set the provisioned throughput with ReadCapacityUnits as 5 and WriteCapacityUnits as 5

Create a reserved capacity configuration with ReservedReadCapacityUnits as 10 and ReservedWriteCapacityUnits as 10

Add a tag Environment with value Production to the table

💡 Why This Matters

🌍 Real World

Reserved capacity is used in real businesses to reduce costs by committing to a certain level of database throughput, ensuring predictable performance and pricing.

💼 Career

Understanding reserved capacity is important for cloud database administrators and developers to optimize costs and performance in AWS DynamoDB.

1

Create the DynamoDB table with primary key

Create a DynamoDB table named Products with a primary key called ProductID of type string.

DynamoDB

# Define the DynamoDB table with primary key
# Your code here

Need a hint?

Use TableName to name the table and define AttributeDefinitions and KeySchema for the primary key.

2

Set provisioned throughput for the table

Add provisioned throughput to the Products table with ReadCapacityUnits set to 5 and WriteCapacityUnits set to 5.

DynamoDB

TableName: Products
AttributeDefinitions:
  - AttributeName: ProductID
    AttributeType: S
KeySchema:
  - AttributeName: ProductID
    KeyType: HASH
ProvisionedThroughput:
  # Set read and write capacity units here
  # Your code here

Need a hint?

Provisioned throughput controls how many reads and writes your table can handle per second.

3

Configure reserved capacity units

Add reserved capacity configuration with ReservedReadCapacityUnits set to 10 and ReservedWriteCapacityUnits set to 10 for the Products table.

DynamoDB

TableName: Products
AttributeDefinitions:
  - AttributeName: ProductID
    AttributeType: S
KeySchema:
  - AttributeName: ProductID
    KeyType: HASH
ProvisionedThroughput:
  ReadCapacityUnits: 5
  WriteCapacityUnits: 5
ReservedCapacity:
  # Add reserved read and write capacity units here
  # Your code here

Need a hint?

Reserved capacity helps you save money by committing to a certain level of throughput.

4

Add a tag to the table

Add a tag to the Products table with key Environment and value Production.

DynamoDB

TableName: Products
AttributeDefinitions:
  - AttributeName: ProductID
    AttributeType: S
KeySchema:
  - AttributeName: ProductID
    KeyType: HASH
ProvisionedThroughput:
  ReadCapacityUnits: 5
  WriteCapacityUnits: 5
ReservedCapacity:
  ReservedReadCapacityUnits: 10
  ReservedWriteCapacityUnits: 10
Tags:
  # Add the Environment tag here
  # Your code here

Need a hint?

Tags help you organize and identify your AWS resources.