Building a Scalable Serverless Weather Application Using AWS Lambda, API Gateway, and DynamoDB
Keywords:
Application; Real-time weather information; Serverless architecture; Traditional server infrastructure; Weather data retrieval;
Abstract
This paper demonstrates how to build a scalable and cost-effective serverless weather application using Amazon Web Services (AWS). By leveraging the power of AWS Lambda, Amazon API Gateway, and Amazon DynamoDB, this architecture eliminates the need for traditional server infrastructure, ensuring high availability, low latency, and minimal operational overhead. At the heart of the system is AWS Lambda, which handles computational tasks by executing code in response to incoming requests. With Lambda, the need for managing servers is removed, allowing for a flexible, pay-as-you-go pricing model that scales automatically based on the number of requests. The Amazon API Gateway serves as the interface through which client applications interact with the weather data, managing request routing, response formatting, and authentication. It acts as a seamless entry point for users to access real-time weather information. The application integrates external weather data APIs, which provide real-time weather updates, and stores the data in Amazon DynamoDB for efficient retrieval. DynamoDB’s NoSQL design ensures fast access to data, supporting the dynamic needs of the weather application as it scales with user demand. This serverless architecture not only reduces the need for manual server management but also offers a highly scalable, secure, and cost-efficient solution for real-time data delivery. The paper highlights the advantages of serverless computing, such as simplified operations, automatic scaling, and reduced costs, while paving the way for more cloud-based, serverless applications in the future.
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Published
2024-12-13
How to Cite
S. Manimaran, S.R. Saranya, B. Vaidianathan, & N. Selvam. (2024). Building a Scalable Serverless Weather Application Using AWS Lambda, API Gateway, and DynamoDB. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 5(6), 584-595. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/698
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