When designing large-scale IT systems serving thousands of concurrent users, developers often encounter the problem of thread deadlock when accessing the database. When one group of users actively writes data (for example, making transactions, filling out forms, placing bets), while another group continuously reads data (browsing catalogs, studying statistics, checking balances), a traditional monolithic database begins to experience colossal overload. An effective solution to this problem is the implementation of the CQRS (Command Query Responsibility Segregation) architectural pattern, a detailed analysis of which is provided in the IT review at link https://lamaluckycasino.net . The essence of the CQRS pattern is the complete separation of command processing logic (changing system state, writing data) from query processing logic (reading information). In high-load systems, this separation is often implemented at the physical database level. Write operations are performed using a single, optimized relational database, guaranteeing absolute transaction accuracy and consistency, while read operations are performed using one or more independent NoSQL databases, with data synchronized in the background.