On-Demand Backups

On-Demand Backups Overview

At its core, on-demand backups is about doing one thing well inside your DynamoDB project. Once you understand the pattern, you can apply it consistently across features and teams.

Good on-demand backups pays off across the whole codebase: fewer surprises, easier testing, and smoother onboarding. The snippet below is a solid starting point.

import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient, GetCommand, PutCommand } from '@aws-sdk/lib-dynamodb';

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

// reuse docClient across the module for efficient, typed access
await docClient.send(new PutCommand({ TableName: 'Orders', Item: { pk: '1' } }));

The DynamoDBDocumentClient maps plain JavaScript objects to DynamoDB item format for you.

On-Demand Backups Example

import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient } from '@aws-sdk/lib-dynamodb';

const docClient = DynamoDBDocumentClient.from(new DynamoDBClient({}));
// docClient.send(new PutCommand(...)) etc.

• Start from a minimal On-Demand Backups example and grow it only as needed.
• Keep configuration explicit so On-Demand Backups behaves the same in every environment.
• Name things clearly so teammates understand your On-Demand Backups at a glance.
• Add tests around On-Demand Backups early to lock in expected behaviour.

Amazon DynamoDB Cheatsheet

Handy DynamoDB (AWS SDK v3) reference related to on-demand backups.

How On-Demand Backups Works in DynamoDB

On-Demand Backups builds on DynamoDB's key-value and document model, where every item lives in a partition chosen by its partition key and is optionally ordered by a sort key.

The DynamoDBDocumentClient maps plain JavaScript objects to DynamoDB item format for you.

• Design access patterns first, then model keys around them.
• Prefer Query over Scan for predictable performance.
• Use expressions to read and write only what you need.
• Keep items small and avoid hot partitions.

Practical Guidance for On-Demand Backups

In production, on-demand backups should be cost-aware and resilient. Right-size capacity, handle throttling with retries, and lean on indexes to support your query patterns.

Common Mistakes

• Copying on-demand backups snippets without understanding what each line does.
• Skipping error handling and edge cases when wiring up on-demand backups.
• Leaving on-demand backups untested, so regressions slip into production.
• Over-engineering on-demand backups before you actually need the extra flexibility.

Key Takeaways

• On-Demand Backups is a core part of working effectively with DynamoDB.
• Start small and keep on-demand backups focused on a single responsibility.
• Apply consistent patterns so on-demand backups scales across your project.
• Test and document on-demand backups to keep it maintainable over time.