This content originally appeared on DEV Community and was authored by Shounak Das
Recently I worked on few projects on the Google Cloud Platform to learn about database hosting,migrations and troubleshooting errors.It was my first experience with cloud-based database management and I quickly realized how crucial it to design solutions that are serving business needs. With the ever evolving landscape it is imperative to design scalable solutions that are working out to manage application workload.Whether it be millions of Youtube users watching a video at the same time or too many customers placing their order from the same restaurant at the same time parallel processing is everywhere.As a Cloud Database Management enthusiast I would like to ask the Dev Community how to ensure better data integration to store data in a strategic manner to handle growing customers especially in payment systems while re-engineering solutions.I am looking at how to develop a robust backend for a payment processing system with zero transaction committing failures.Let's discuss!
This content originally appeared on DEV Community and was authored by Shounak Das
Shounak Das | Sciencx (2025-03-02T05:33:21+00:00) Payment data processing. Retrieved from https://www.scien.cx/2025/03/02/payment-data-processing/
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