Migrating Data from Postgres to DynamoDB with Python for Glowing Telegram Project - Episode 164
In this video, I dive into backend development for the Glowing Telegram project, focusing on migrating data from Postgres to DynamoDB using Python. We explore the creation of a Python script to perform a reliable one-way data synchronization. The goal is to set up DynamoDB as the new data store while retaining local operations during the migration process. Here’s a detailed walkthrough of how I approach this challenge:
Understanding the Migration Goals: I discuss the rationale behind moving from Postgres to DynamoDB, emphasizing the benefits of a serverless architecture using AWS Lambda.
Setting Up DynamoDB and Data Structure Design: We analyze how to structure tables in DynamoDB, taking into account the transition from relational data models to a more document-oriented approach.
Python Scripting for Data Sync: I demonstrate the initial steps of writing a robust Python script to extract data from Postgres and insert it into DynamoDB, covering database connections with Psycopg2, AWS SDK usage in Python (Boto3), and handling potential challenges like merging existing records during migration.
Modifying Existing Backend Code: I update backend services to ensure compatibility with the new system. This includes adjusting AWS Lambda logic to use DynamoDB's `update_item` instead of `put_item` to maintain data integrity while enabling seamless transitions.
Exploring Table Schema and Logic: I examine the schema for tables such as 'streams' and plan how to carry over relevant data fields needed for the new infrastructure, making decisions about field preservation, renaming, or elimination.
Throughout the video, I share tips for managing cloud resources on AWS, working with Pulumi for infrastructure deployment, and setting up Docker workflows for service deployment. If you're interested in how to navigate backend migrations or want to learn about transitioning to DynamoDB from a relational database, this session provides real-world insights.
Stay tuned for more streams as we continue to refine the backend for the Glowing Telegram project and make progress on modernizing its systems. Your feedback and questions are always welcome—leave them in the comments below!
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