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Cloud Native Application Development: Best Practices and Challenges

Vincent Uchenna Ugwueze

2024International Journal of Research Publication and Reviews15 citationsDOIOpen Access PDF

Abstract

Cloud-native application development has emerged as a pivotal approach to creating scalable, resilient, and agile software systems in today's dynamic digital landscape.By leveraging cloud computing technologies and principles such as microservices architecture, containerization, and continuous integration/continuous deployment (CI/CD), organizations can accelerate innovation and improve operational efficiency.This paradigm shift addresses the growing demand for applications that adapt seamlessly to fluctuating workloads and evolving user requirements.This article provides a comprehensive overview of cloud-native application development, highlighting its foundational principles and best practices.It explores the use of microservices for modular application design, the role of containers and orchestration platforms like Kubernetes in managing application lifecycles, and the importance of CI/CD pipelines in enabling rapid and reliable software delivery.Additionally, the integration of serverless computing and Infrastructure as Code (IaC) is discussed, showcasing their impact on reducing operational overhead and fostering scalability.Despite its advantages, cloud-native development presents challenges, including managing the complexity of distributed systems, ensuring robust security in dynamic environments, and addressing compliance requirements.The article delves into strategies for overcoming these challenges, such as implementing observability tools, adopting zero-trust security models, and adhering to regulatory frameworks.By bridging theoretical insights with practical applications, this study aims to equip developers, architects, and organizations with the knowledge to harness the full potential of cloud-native technologies.It concludes by discussing emerging trends, such as the rise of edge computing and the integration of artificial intelligence, which are shaping the future of cloud-native development.

Topics & Concepts

Cloud computingComputer scienceData scienceOperating systemCloud Computing and Resource Management
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