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Introduction

Cloud-native application development is a term that has gained significant momentum in recent years, as organizations increasingly adopt cloud computing to drive innovation and agility in their software development processes. This approach enables developers to build applications that are designed to be scalable, resilient, and easily deployable in cloud environments.

As a PhD student in the field of Computer Science, my final thesis focuses on exploring the key principles, practices, and tools associated with cloud-native application development. This research aims to provide a comprehensive understanding of how organizations can leverage cloud-native technologies to accelerate their software development processes and deliver value to their customers more effectively.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of cloud-native application development
2.2 Key principles of cloud-native architecture
2.3 Microservices architecture
2.4 Containerization and orchestration
2.5 Continuous integration and continuous delivery (CI/CD)
2.6 DevOps practices in cloud-native development
2.7 Serverless computing
2.8 Cloud-native security
2.9 Performance optimization in cloud-native applications
2.10 Case studies of organizations implementing cloud-native development

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis procedures
3.5 Ethical considerations
3.6 Validation of research findings
3.7 Research limitations
3.8 Research implications

Chapter 4: Discussion of Findings
4.1 Key findings from the literature review
4.2 Implementation challenges in cloud-native development
4.3 Best practices for successful cloud-native adoption
4.4 Case studies analysis
4.5 Future trends in cloud-native application development

Chapter 5: Conclusion and Summary
This chapter will summarize the key findings of the research and provide recommendations for organizations looking to adopt cloud-native application development practices. Additionally, it will highlight the contributions of this thesis to the field of Computer Science and suggest avenues for future research in this area.

Thesis Overview on Cloud-native Application Development

Cloud-native application development is a modern approach to building software applications that are designed to run in cloud environments. This thesis explores the key principles, practices, and tools associated with cloud-native development, with a focus on how organizations can leverage these technologies to accelerate their software delivery processes and meet the demands of today’s fast-paced digital economy.

The literature review chapter provides an overview of cloud-native architecture and its core components, such as microservices, containers, and continuous integration and delivery. It also examines best practices for implementing cloud-native applications, including DevOps principles, serverless computing, and security considerations.

The research methodology chapter outlines the design of the study, data collection methods, and analysis procedures used to investigate the key research questions. It also discusses ethical considerations and limitations of the study, as well as the implications of the research findings for practice.

The discussion of findings chapter presents the key insights and implications drawn from the literature review and research methodology. It examines the challenges and opportunities of implementing cloud-native development practices and provides recommendations for organizations seeking to adopt this approach.

In conclusion, this thesis contributes to the growing body of knowledge on cloud-native application development and offers practical guidance for organizations looking to embrace this transformative technology. It underscores the importance of agility, scalability, and resilience in modern software development and highlights the potential benefits of cloud-native architectures for driving innovation and competitiveness in today’s digital landscape.

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