Case Study 1: Optimizing the Real-time Pricing and Promotion Engine for High Throughput Transactions
Challenge:
A large-scale ordering system thus needed a very high-performance real-time pricing and promotion engine capable of handling more than 100k transactional operations a day. However, the major challenge now was to ensure that the calculations at all times of pricing and promotion were able to be executed in less than 50 milliseconds while maintaining scalability and reliability along with seamless customer experience. The current architecture was insufficient with regard to latency, poor cross- service communication, and non-scalability, and should, therefore, be optimally shuffled to a solution that is event-based.
Solution:
OKRUTI redesigned the architecture using a distributed microservices ecosystem for:
– Backend and API orchestration with Java & Spring Boot.
– An event-driven architecture using Kafka for asynchronous scalable real-time messaging.
– Redis for fast in-memory caching for reducing latency in computing prices.
– PostgreSQL as the main database optimized for higher volume transaction handling.
– REST APIs for seamless cross-service communication and real-time data synchronization.
The team designed eight microservices to create modularized logic for pricing, promotion, redemption, orchestration, and execution, allowing parallel processing and optimal resource usage.
Results achieved:
✔ Real-time execution in 50ms – Pricing and promotion calculations triggered in milliseconds, drastically cutting the time spent between order reception and response.
✔ Architectures that scale at high throughput –> More than 100k orders daily have never been an uphill task for the distributed system, which has qualified it to provide resilience and availability from the system itself.
✔ Improved customer experience – Dynamic pricing and promotion strategies personalized to each customer find the average user more involved, satisfied, and accommodating.
✔ Fault tolerance enhanced – Because of the decoupled architecture, system downtime can be minimized, as can dependency failures, thus allowing a very robust transactional pipeline.
This has pivoted the solution to become a high-performance, future-proof pricing engine, thereby creating opportunities for the client to be scalable, efficient, and competitive in doing transactions in real time.
Feedback from a customer:
“Okruti’s” proficiency in microservices with real-time processing helped us redefine our pricing and promotion engine with unmatched speed and accuracy.”