PerpFi

Solutions

To overcome the challenges, Hola Tech adhered to the best practices. Key components of the solution included:

– Implement a high-speed caching layer: Use a fast, in-memory data store (like Redis, managed on AWS) between NodeJS and the ReactJS front-end. The NodeJS service should pull indexed data from The Graph but aggressively cache critical, real-time data (like the merged order book and current funding rate) with a sub-second Time-To-Live (TTL), ensuring the trading interface serves near-instantaneous data without waiting for the next full indexing cycle.

– Adopt a serverless, event-driven architecture: Utilize AWS Lambda and AWS SQS/SNS for core backend functions. Instead of a monolithic NodeJS server, critical tasks can be triggered asynchronously by events. This allows the system to automatically and elastically scale compute resources up during peak load and down to zero during idle times, ensuring high availability and cost efficiency.

– Introduce react list virtualization and memoization: Apply advanced ReactJS performance techniques. Use list virtualization libraries (like react-window or react-virtualized) to only render visible rows in the order book and transaction history tables. Furthermore, extensively use React.memo and useMemo to prevent unnecessary re-renders of complex components when their data props haven’t genuinely changed, maintaining a smooth, high-frame-rate user interface.