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Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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CLOUD-NATIVE JAVA APPLICATIONS: ARCHITECTURES, CHALLENGES, AND BEST PRACTICES

Authors: Vinod Kumar Jangala;

CLOUD-NATIVE JAVA APPLICATIONS: ARCHITECTURES, CHALLENGES, AND BEST PRACTICES

Abstract

Cloud-native Java applications represent a paradigm shift in how enterprise software is designed, developed,deployed, and managed. By leveraging cloud computing principles such as elasticity, scalability, resilience, andautomation, cloud-native architectures enable Java applications to efficiently meet modern business andperformance demands. This approach emphasizes microservices-based architectures, containerization,orchestration platforms, and DevOps-driven continuous integration and continuous deployment (CI/CD)pipelines. While Java remains a dominant language in enterprise environments due to its maturity, portability, andextensive ecosystem, adapting traditional Java applications to cloud-native environments introduces severalarchitectural and operational challenges. These include managing distributed systems complexity, optimizingstartup time and memory consumption, ensuring fault tolerance, maintaining security across services, andachieving effective observability. This paper explores the core architectures underpinning cloud-native Javaapplications, examines key technical and organizational challenges encountered during adoption, and outlines bestpractices for designing resilient, scalable, and maintainable systems. Emphasis is placed on modern Javaframeworks, cloud-native design patterns, performance optimization techniques, and governance strategies thatcollectively enable organizations to fully realize the benefits of cloud-native Java development.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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