This article explains the transaction isolation levels in databases, focusing on how they affect data consistency and concurrency. Using a ticket booking system as an example, we’ll explore different isolation levels with PostgreSQL and SQLAlchemy.

A deep dive into the hidden complexities of transaction management in SQLAlchemy. Learn how implicit transaction handling can silently break your app, and master advanced patterns like nested transactions, retries, async handling, and observability.

In this blog post, we explore essential database schema design patterns tailored for building scalable and maintainable e-commerce applications. Using SQLAlchemy code snippets, you'll learn how to model data and manage polymorphic relationships.

In this article, we explore how to design and implement multitenant database architectures tailored for B2B SaaS applications. You’ll learn how to securely isolate data, scale your backend efficiently, and choose the right multitenancy strategy.

Learn how to go beyond simple schema changes and manage real data transformations with Alembic migrations. This post covers practical techniques for updating enums, denormalizing tables, and handling complex data updates.