DynamoDB Table Creation and Data Sync with Pulumi and Python - Episode 165
2In this video, I walk you through the process of managing DynamoDB tables using Pulumi and integrating data from a PostgreSQL database. We start by setting up tables such as streams, episodes, and video metadata, and explore best practices for defining partition keys, secondary indexes, and ensuring compatibility with existing infrastructure.
Throughout the session, I discuss:
Managing DynamoDB tables with Pulumi.
Deciding whether to use UUIDs or other identifiers for partition keys.
Implementing conditional writes to avoid data duplication.
Migrating and syncing data from PostgreSQL to DynamoDB, including how to handle attributes like timestamps, durations, and string conversions.
Addressing challenges with float types and utilizing Python's `decimal` module for DynamoDB compatibility.
Thinking through batch operations, update expressions, and handling edge cases like null data.
In addition, you’ll see how to test and validate data transfer integrity, ensure no duplicate records, and even safeguard backups for critical data. By the end of the video, you'll have a deeper understanding of integrating cloud resources with backend systems, using a combination of Python, Pulumi, and AWS.
If you're working on modernizing backend systems with cloud services, this walkthrough will provide useful insights.
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