Optimizing Cost and Performance in MEAN Stack Applications with Cloud Auto-Scaling and Load Balancing
Publication Date : 24/07/2024
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Abstract :
The rapid growth of web applications necessitates scalable solutions that optimize both cost and performance. This paper explores advanced strategies for implementing auto-scaling and load balancing in cloud services for MEAN (MongoDB, Express.js, Angular, Node.js) stack applications. Beyond traditional techniques, this research introduces novel, unrevealed ideas such as intelligent auto-scaling with predictive analytics, dynamic multi-cloud and hybrid cloud deployments, serverless microservices architectures, edge computing for latency reduction, and dynamic resource allocation with spot instances. By leveraging these innovative approaches, developers can achieve efficient resource management and enhanced application performance, providing a comprehensive framework for optimizing MEAN stack applications in modern cloud environments.
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