How does PayPal process 350 billion transactions a day? JunoDB

The article discusses how PayPal built a database capable of handling a staggering 350 billion requests per day. This achievement was made possible through modern technologies and architectural optimizations. A key strategy in this process was utilizing distributed data processing, which allowed for parallel handling of a large number of operations. Moreover, PayPal engineers invested in developing performance monitoring tools, enabling real-time analysis and optimization of the database's functionality. The article also highlights the challenges concerning data security and the continuing need for data protection, which are crucial in the financial industry. In light of increasing customer demands, PayPal has also invested in developing flexible solutions that allow scaling infrastructure as the number of users and transactions grows.