Day 30/365 follow for more such content . . This is a classic concurrency problem. When multiple threads or users access the same data at the same time, you can end up with wrong or out-of-order results. . . There are multiple ways systems handle this, depending on scale and performance needs. 1️⃣ Database-level control “Databases can lock the data while it’s being updated, so only one request modifies it at a time. This is usually done using transactions and row-level locks. 2️⃣ Application-lev

PROOF JavaScript is a Multi-Threaded language

Thread Pools in Java