BUILD A REAL – TIME ANALYTICS DASHBOARD WITH AWS KINESIS AND LAMBDA

Abstract: Real-time weather monitoring plays an important role in many sectors including agriculture, transportation, disaster management, and environmental monitoring. Traditional weather systems generally rely on periodic updates which may not provide immediate information when environmental conditions change rapidly. With the advancement of cloud computing and streaming technologies, modern applications are capable of processing and visualizing data continuously as events occur. This paper presents WeathX, a Real-Time Weather Analytics Dashboard that demonstrates a cloud-inspired streaming architecture for continuous weather monitoring and analytics. Weather data is collected automatically from the OpenWeatherMap API at regular intervals and processed through a simulated event- driven pipeline inspired by technologies such as Amazon Kinesis, AWS Lambda, and Amazon DynamoDB. Each weather record is treated as a streaming event and processed through ingestion, transformation, storage, and visualization layers. The backend system developed using Node.js manages data fetching, event processing, and communication with the frontend. The frontend dashboard built using React.js provides interactive visualization of weather parameters including temperature, humidity, pressure, and wind speed. WebSocket communication allows real-time updates without requiring manual page refresh. The proposed system demonstrates how real-time streaming architectures can support efficient analytics platforms and improve the responsiveness of weather monitoring applications.

Keywords: Real-Time Analytics, Weather Monitoring, Streaming Architecture, WebSockets, Cloud Computing