Architecting a scalable Heroku-based microservice solution to process millions of transactions and support $1B+ in annual volume
Annual Transaction Volume
Data Fidelity Maintained
Bi-directional Data Sync
Our client, a rapidly growing peer-to-peer lending platform, was facing critical scalability issues as they expanded their operations nationally. The platform was processing millions of real-time transactional records including loan applications, payment processing, and customer interactions.
We designed and implemented a comprehensive architectural solution that decoupled the core financial transaction processing from the Salesforce CRM layer, while maintaining seamless data synchronization.
Built a scalable Node.js-based microservice application on Heroku platform to handle high-volume transaction processing independent of Salesforce limits
Implemented bi-directional, near-real-time data synchronization between Heroku Postgres and Salesforce using Heroku Connect for seamless data flow
Separated core financial transaction processing from CRM operations, allowing each to scale independently while maintaining data consistency
Established automated data pipelines ensuring that critical business information flows seamlessly between systems with minimal latency
Implemented robust security measures and maintained compliance with financial industry regulations throughout the data flow
Ensured 100% data fidelity between Heroku Postgres and Salesforce through automated validation and reconciliation processes
Optimized transaction processing to handle peak loads without degradation in response times or user experience
Built architecture to support unlimited horizontal scaling to accommodate future growth and market expansion
"The Heroku integration solution transformed our platform's capabilities. We went from worrying about system crashes to confidently processing billions in transactions. The KVP team's expertise in both Salesforce and Heroku was instrumental in our national expansion success."
— CTO, P2P Lending Platform