This blog post tackles the N+1 query problem in GraphQL by introducing dataloaders for batching requests and reducing database calls. It walks through setting up Aioinject, an async dependency injection library, to manage dataloader lifecycle efficiently with FastAPI and Strawberry GraphQL. The post explores three iterations of dataloader implementation, showing how to eliminate global state, improve performance, and support advanced features like key transformations and reusable factories.

This article explores secure session management using JWE and JWS in FastAPI and Next.js. Key considerations include balancing security, client-side accessibility, and performance. JWS is recommended for non-sensitive data needing frontend access, while JWE adds encryption for critical use cases. Both methods rely on standardized libraries and secure key management to ensure integrity and confidentiality in decoupled architectures.

When it comes to building lightweight and efficient HTTP APIs, Python offers a fantastic ecosystem of tools that enable you to create robust, scalable, and maintainable backends. In this post, I'll walk you through my tech stack for building lean and mean APIs with Python. Each component has been chosen to maximize efficiency, readability, and modern best practices.

In this tutorial, we’ll walk through how to integrate Strawberry GraphQL and FastAPI with Relay to enable persisted queries, which can significantly boost the performance of GraphQL applications. We’ll cover setting up a Relay environment on the client side, configuring a GraphQL server to handle persisted queries, and extending the Strawberry GraphQL schema to manage these queries.