A Deep Dive into Amazon Web Services: Unlocking the Potential

Authors

  • Narayana Challa Manager for Integrations and Master Data, TX, USA Author
  • Siva Karthik Devineni Database Consultant, MD, USA Author
  • Rajath Karangara Technical Project Manager, American Express, USA Author

DOI:

https://doi.org/10.47363/JAICC/2022(1)179

Keywords:

AWS, Amazon Web Services, EC2, AWS Lambda, Serverless, Databases, Virtual Containers, Cloud Computing, IoT, Artificial Intelligence

Abstract

The advent of cloud computing has revolutionized the landscape of modern technology infrastructures, with Amazon Web Services (AWS) emerging as a dominant cloud player in this arena. The research explores AWS's nuances to unlock its full potential and highlight its transformative benefits for businesses and individuals. By analyzing various AWS features, the study scrutinizes AWS services from their scalability, reliability, and cost-effectiveness perspectives. Research seeks to identify key strategies and best practices for optimally using AWS resources, thus increasing operational efficiency while stimulating innovation. Investigation entails exploring AWS's technological architecture, security protocols, and integration capabilities. In sum, this research serves as an indispensable guide for stakeholders who wish to utilize all aspects of AWS functionalities, fostering a greater appreciation of its power to enhance digital transformation efforts and launch organizations into the era of technological development.

Author Biographies

  • Narayana Challa, Manager for Integrations and Master Data, TX, USA

    Narayana Challa, Manager for Integrations and Master Data, TX, USA.

  • Siva Karthik Devineni, Database Consultant, MD, USA

    Database Consultant, MD, USA

  • Rajath Karangara, Technical Project Manager, American Express, USA

    Technical Project Manager, American Express, USA

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Published

2022-04-30

How to Cite

A Deep Dive into Amazon Web Services: Unlocking the Potential. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(2), 1-5. https://doi.org/10.47363/JAICC/2022(1)179

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