Progressive Web Apps with Angular: Enhancing Cloud Access on Mobile Devices

Authors

  • Rajesh Nadipalli USA Author

DOI:

https://doi.org/10.47363/JAICC/2024(3)486

Keywords:

Progressive Web Applications (PWAs), Angular Framework, Cloud Computing, Mobile Devices, Web Performance Optimization

Abstract

Progressive Web Applications (PWAs) represent a paradigm shift in mobile computing by combining the flexibility of web technologies with the functionality of native applications. As cloud adoption accelerates, ensuring seamless, secure, and efficient access to cloud-based resources on mobile devices has become a critical requirement for enterprises and end users alike. This paper examines how Angular, a widely adopted framework, enhances the development of PWAs to meet these demands. Angular’s modular architecture, built-in support for service workers, and optimization features provide a foundation for building robust applications capable of delivering offline functionality, responsive design, and near-native performance.

The discussion emphasizes integration strategies with leading cloud platforms, focusing on authentication models, data synchronization, and real-time updates. Performance optimization techniques such as lazy loading, Ahead-of-Time (AOT) compilation, and Lighthouse audits are explored to highlight measurable improvements in efficiency. Security considerations are also addressed, including Angular’s adherence to HTTPS, strong API protection,and compliance with regulatory standards. Through a synthesis of case studies and empirical analysis, the paper demonstrates that Angular-based PWAs significantly expand mobile cloud accessibility while reducing costs and complexity. The findings suggest that these applications not only bridge the gap between native and web ecosystems but also accelerate digital transformation across industries.

Author Biography

  • Rajesh Nadipalli, USA

    Rajesh Nadipalli, USA.

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Published

2024-07-20

How to Cite

Progressive Web Apps with Angular: Enhancing Cloud Access on Mobile Devices. (2024). Journal of Artificial Intelligence & Cloud Computing, 3(4), 1-5. https://doi.org/10.47363/JAICC/2024(3)486

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