Efficient Caching Mechanisms with Redis for Fuel Dispenser Data
Author(s):
Rohith Varma Vegesna
Fuel dispensers and Automatic Tank Gauge (ATG) generate real-time data that is essential for fuel station operations, including reconciliation, monitoring, and reporting. ATGs play a crucial role in measuring fuel inventory levels, detecting leaks, and ensuring compliance with regulatory standards. The real-time nature of ATG and dispenser data necessitates efficient processing and quick retrieval for operational efficiency and fraud prevention.
Traditional database-driven approaches for handling this data can introduce significant latency, particularly when processing high-frequency transactions at large-scale fuel stations. Every fuel transaction updates dispenser meters and affects ATG readings, making it essential to have an optimized system that provides instant access to this data while maintaining historical records for audits and compliance.
This paper explores the implementation of Redis as a caching mechanism to optimize real-time fuel dispenser and ATG data retrieval. By leveraging AWS ElastiCache, we establish a low-latency, high-performance caching layer that enables instant access to fuel meter readings and tank levels. The proposed approach enhances system efficiency by reducing database query overhead, minimizing load on primary storage, and ensuring that real-time data remains accessible for reconciliation, reporting, and anomaly detection.
