HOW I SCALED AMAZON’S LOAD GENERATOR TO RUN ON 1000S OF MACHINES

Summary from the TLDR Web Dev newsletter

TPSGenerator was created to handle large-scale livestreams like Taylor Swift's concert. It initially worked on a single machine, generating a specified number of transactions per second. As the need for higher throughput grew, especially with events like Cyber Monday, the tool evolved from a single-host system to a distributed one. Utilizing a divide-and-conquer strategy, the tool’s developer implemented a Controller → Queue → Worker architecture, where tasks were broken down into smaller, manageable ones, and distributed among multiple machines for execution.