Podcast - Scaling PostgreSQL with Read-Write Splitting: A Docker & SQLAlchemy Tutorial
As web applications grow, scaling database performance becomes crucial. One effective strategy is to implement read-write splitting, where write operations (such as INSERT, UPDATE, and DELETE) are directed to the primary database. At the same time, read operations (such as SELECT queries) are routed to replicas. This approach improves the efficiency of database interactions and enables better load balancing and high availability.
In this podcast, we will explore how to set up PostgreSQL read-write splitting using Docker to create a mock Aurora PostgreSQL cluster, HAProxy for load balancing, and SQLAlchemy in Python to manage read-write query separation.
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