Cloud Integration With Java And Net

Authors

  • Ganesh Sai Kopparthi

DOI:

https://doi.org/10.63278/mme.v29i2.1828

Abstract

The increasing adoption of cloud computing across industries has led to the need for seamless integration between traditional programming languages and cloud platforms. Cloud computing offers a scalable, flexible, and cost-efficient solution for application deployment, data storage, and processing. Java and .NET are two dominant programming ecosystems widely used for building enterprise applications. This paper explores the integration of Java and .NET with cloud platforms, focusing on the major cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The research investigates the tools, frameworks, and best practices that enable Java and .NET developers to integrate their applications with cloud environments effectively. It also presents comparative analysis of how these two programming languages approach cloud integration, particularly in terms of cloud-native development, serverless computing, and microservices. Through two case studies, this paper demonstrates how Java and .NET applications can be deployed and managed on cloud platforms, offering insight into the challenges and solutions encountered in real-world scenarios. Furthermore, it highlights the significance of leveraging managed services and cloud-native features to optimize performance, scalability, and cost-efficiency. This study contributes to the understanding of cloud integration practices in Java and .NET environments, providing valuable guidance to developers and organizations seeking to migrate or optimize their applications in the cloud. The findings emphasize the importance of selecting the appropriate cloud service provider and integrating cloud capabilities based on the specific needs of the application, thereby maximizing the potential benefits of cloud computing.

Downloads

How to Cite

Kopparthi, Ganesh Sai. 2023. “Cloud Integration With Java And Net”. Metallurgical and Materials Engineering 29 (2):53-61. https://doi.org/10.63278/mme.v29i2.1828.

Issue

Section

Research