The Aiven blog post provides a detailed tutorial on enhancing PostgreSQL web applications with caching using Valkey, a key-value store compatible with the Redis serialization protocol. The guide walks readers through building a simple Python web app that interacts with a PostgreSQL database, employing FastAPI for web application development, and integrating caching to optimize database read performance. It covers setting up a Python virtual environment, managing PostgreSQL and Valkey services through Aiven, and using tools like curl and psql for database interaction. The tutorial emphasizes the importance of caching for improving application performance, explains cache invalidation strategies, and introduces the concept of time-to-live for cache entries to ensure data accuracy. Additionally, it explores the use of Python decorators to streamline the caching logic in the application, demonstrating how to handle caching for multiple values, including total order counts and per-customer order counts. The post concludes with recommendations for additional resources and best practices for managing caching in production environments.