Developing a Microservices Architecture for Fuel Station Monitoring Systems Using AWS Lambda

Fuel station monitoring systems traditionally rely on monolithic software architectures that tie together multiple functionalitiesranging from dispenser data collection to Automated Tank Gauge (ATG). As the need for agile, scalable, and cost-effective solutions grows, leveraging a serverless, microservices-based architecture offers many benefits. This paper presents the design and implementation of a microservices architecture using AWS Lambda for fuel station monitoring, integrating continuous data from pumps, ATG sensors, and real-time analytics. Building on insights from previous research on real-time reconciliation, visualization, and data streaming, we show how AWS Lambda functionsalong with other AWS services such as Amazon API Gateway, AWS IoT Core, and Amazon Kinesisform a resilient, fault-tolerant, and cost-effective platform. Our solution allows for independent service scaling, quick deployments, and secure data handling, thereby addressing the limitations of monolithic systems in fuel station operations.