Creating a Scalable Lambda Layer for PostgreSQL or MySQL Drivers in Python
Introduction When working with AWS Lambda functions in Python, especially in database-heavy applications, you often run into deployment package size limits or performance issues due to repeated bundling of common libraries like psycopg2 for PostgreSQL, python-oracledb for Oracle or mysql-connector-python for MySQL. These database drivers are essential, yet bulky—leading to bloated deployment packages, slower cold starts, and painful debugging across environments. To address this, Lambda Layers offer a powerful solution. Layers allow you to package shared dependencies—such as database drivers—separately and reuse them across multiple functions, simplifying deployment and improving scalability. In this blog, we’ll walk through creating a scalable and reusable Lambda Layer for PostgreSQL or MySQL drivers using Python. You’ll learn not only how to build and deploy these layers, but also best practices to make your architecture more maintainable and efficient in the long run. Whet...
