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The American Journal of Applied Sciences

Volume 8.
Issue 07.

Volume 08 Issue 07

July 2026

Explore the research published in this issue. Read article details, abstracts and available full-text files.

Open access ISSN 2689-0992 2 articles
tajas ISSN 2689-0992

Ideas without
boundaries.

The American Journal of Applied Sciences

VOLUME 8 / ISSUE 07 JULY 2026
IN THIS ISSUE

Table of contents.

2 articles

Applied Sciences

2 articles
1
Applied Sciences · OPEN ACCESS 01 July 2026

A Scalable Cloud-Native Architecture Using Kubernetes and Amazon EKS for High-Availability Microservices Deployment

Dr. Daniel J. Thompson, Dr. Sophie M. Weber

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Modern enterprise systems are rapidly transitioning from monolithic architectures to cloud-native microservices-based systems to achieve scalability, resilience, and rapid deployment cycles. Container orchestration platforms such as Kubernetes, along with managed services like Amazon Elastic Kubernetes Service (Amazon EKS), have become foundational technologies for deploying high-availability distributed applications. This paper proposes a scalable cloud-native architecture leveraging Kubernetes and Amazon EKS to design, deploy, and manage microservices in production-grade environments.

The proposed architecture focuses on achieving high availability, fault tolerance, automated scaling, secure deployments, and efficient resource utilization. By integrating Infrastructure as Code (IaC), CI/CD automation, and DevSecOps principles, the system ensures continuous delivery and operational efficiency. Prior research highlights the increasing adoption of Kubernetes in enterprise environments and the need for automated infrastructure provisioning and compliance verification in cloud systems (Arya et al., 2024; Nagpal et al., 2024).

The study also incorporates disaster recovery strategies, security frameworks, and blue-green deployment mechanisms to ensure system reliability and minimal downtime. Experimental analysis and architectural evaluation demonstrate that combining Kubernetes with Amazon EKS significantly improves deployment consistency, reduces operational overhead, and enhances system scalability in distributed cloud environments.

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2
Applied Sciences · OPEN ACCESS 19 July 2026

From Summarizing to Persuading: Comparative Analysis of English And Uzbek Scientific Discourse

Abduganiyeva Zebuniso Abduhafizovna

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Research article abstracts function as both informational summaries and access points to disciplinary knowledge. This study compares the rhetorical organisation and linguistic realisation of English and Uzbek research article abstracts, focusing on promotional and expository orientations. The corpus comprises 68 abstracts published between 2023 and 2025 and equally divided between the two languages. The texts were analysed using a five-move, fifteen-step model. Purpose and Results emerged as the most stable moves in both corpora, while Method and the complete five-move structure were more consistently represented in English abstracts. English writers more often separated communicative functions through finite research verbs, explicit data statements, reporting frames, and contribution claims. Uzbek abstracts more frequently integrated purpose, method, results, and evaluation through nominal-predicative constructions, action nominals, passive predicates, and extended enumerations. These differences are interpreted as discoursal and institutional preferences rather than fixed cultural traits. The main contrast concerns rhetorical visibility and information packaging, not the communicative functions themselves.

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