# How Channel Corporation modernized their architecture with Amazon DynamoDB, Part 3: User and Badge

DevFeed: [How Channel Corporation modernized their architecture with Amazon DynamoDB, Part 3: User and Badge](<https://devfeed.tech/articles/how-channel-corporation-modernized-their-architecture-with-amazon-dynamodb-part-3-user-and-badge-4701.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/database/how-channel-corporation-modernized-their-architecture-with-amazon-dynamodb-part-3-user-and-badge/>)

Author: Haibin (Binu) Lee

Published: 2026-08-25T18:39:51Z

Content type: article

Language: en

Sources: [AWS Database Blog](<https://devfeed.tech/sources/aws-database-blog.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [migration](<https://devfeed.tech/topics/migration.md>), [Amazon S3](<https://devfeed.tech/topics/amazon-s3.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [App](<https://devfeed.tech/topics/app.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [amazon](<https://devfeed.tech/tags/amazon.md>), [amazon-dynamodb](<https://devfeed.tech/tags/amazon-dynamodb.md>), [app](<https://devfeed.tech/tags/app.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [aws](<https://devfeed.tech/tags/aws.md>), [customer-solutions](<https://devfeed.tech/tags/customer-solutions.md>), [data](<https://devfeed.tech/tags/data.md>), [latency](<https://devfeed.tech/tags/latency.md>), [migration](<https://devfeed.tech/tags/migration.md>)

## AI overview

Channel Corporation describes how it addressed DynamoDB User table throttling by separating role-specific data, including Badge data, from an all-purpose User table. The article explains the effects of bursty badge writes, item-size-based write capacity consumption, and transaction processing, and introduces an online migration approach using DynamoDB Export and Import with Amazon S3 and AWS Glue.

## Source excerpt

Channel Corporation shares how they split their all-purpose Amazon DynamoDB User table into role-specific tables, moving Badge data into a dedicated UserBadge table to stop transaction-conflict throttling and GSI back pressure, and how they ran a zero-downtime online migration using DynamoDB Export and Import with Amazon S3 and AWS Glue.