Stored procedures in Postgres are reusable functions introduced in version 11, which differ from traditional functions by not requiring an explicit return value and allowing transaction control, such as committing or aborting transactions. They are invoked using the CALL keyword and are ideal for tasks involving multiple, interdependent SQL statements that should be executed as part of a single transaction, such as handling new subscriptions in an e-commerce application. The creation of stored procedures involves defining a name, arguments, and a body of code, typically in SQL or other supported languages like plpgsql, C, or extensions like Python. While stored procedures can enhance performance by executing complex logic within the database, they can also pose performance challenges if not written in SQL, as they become opaque to the query planner. They are particularly useful for ensuring data consistency and integrity across multiple servers or microservices that share database logic. The article discusses scenarios where stored procedures are beneficial, explores their performance implications, and offers guidance on creating, using, and altering them in Postgres.