The Problem We Were Actually Solving
What struck me was that our application was relying heavily on Stripe's native payment processing for global transactions. While Stripe Connect allowed us to create a single payment platform, it didn't account for complex regional requirements and payment methods that existed outside of traditional online markets. Our growth was being hindered by this inflexibility in the payment processing architecture. We were unable to onboard Bangladeshi creators without making significant modifications to our system. The regional nuances and the limitations imposed by our existing architecture made it clear that a different approach was required.
What We Tried First (And Why It Failed)
We first explored using alternative payment gateways like Paystack and Paytm. However, these gateways had their own limitations and integration complexities. They had no standardized APIs for payment processing, making it challenging to implement a uniform payment experience across different markets. Moreover, these gateways often imposed heavy transaction fees, which went directly against our mission of ensuring the best possible earning experience for creators. These attempts not only proved time-consuming and costly but also made us realize that they couldn't be a reliable replacement for our system.
The Architecture Decision
That's when we decided to build a custom payment processing system to cater to the diverse needs of emerging markets. Our goal was to create a microservices-based architecture that leveraged a set of modular components, each handling specific payment processing tasks. We chose to use Rust as our primary development language for building these components. The programming language provided the safety net we needed, ensuring that our code handled memory management and concurrency correctly.
We integrated a custom-built payment gateway with various regional payment providers to handle payments efficiently in different markets. Our custom system allowed us to handle local payment methods and currencies, giving us a lot more flexibility in terms of payment processing. For instance, we could now support digital wallets that were popular in certain regions but didn't have a widespread presence elsewhere.
What The Numbers Said After
After making the switch, we observed significant improvements in our payment processing efficiency. Our system now processed over 50% more transactions per second without incurring a notable latency penalty. Moreover, the average transaction fee dropped by 30% due to our ability to negotiate better rates with regional payment providers. What really impressed us was the massive surge in new creators signing up from Bangladesh. Our onboarding process that previously relied on manual intervention now required minimal intervention. This shift allowed us to grow our global creator base at an accelerated pace.
What I Would Do Differently
One thing that I would have done differently during this project is to allocate more time for experimenting with different architectures. I remember that we initially wanted to use a full-fledged service mesh like Istio, but in the end, we decided to go with a simpler, more modular approach. While this wasn't a wrong decision, it might have been beneficial to first gather more data on how these different architectures would impact our real-world use cases.
Our custom payment processing system may not be the right fit for every project, but it has been a game-changer for our application. Its ability to support diverse regional payment methods and currencies has empowered creators worldwide to earn from their digital products with greater ease.
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