Cloud-native microservices architecture – Complete Phd and Masters Thesis

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Introduction:

Cloud-native microservices architecture has grown in popularity in recent years due to its ability to enable organizations to build, deploy, and scale applications more efficiently and effectively. This architecture style breaks down complex applications into smaller, more manageable services that can be independently developed, deployed, and maintained. By utilizing cloud technologies and principles, such as containers and orchestration, organizations can achieve greater agility, scalability, and reliability.

This thesis aims to provide a comprehensive overview of cloud-native microservices architecture, exploring its background, benefits, challenges, and best practices. By examining existing literature and conducting empirical research, this thesis seeks to contribute to the body of knowledge on this topic and provide insights for organizations looking to adopt this architecture style.

Table of Contents:

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 Architecture
2.2 Evolution of Microservices Architecture
2.3 Benefits of Cloud-Native Microservices
2.4 Challenges of Cloud-Native Microservices
2.5 Best Practices for Cloud-Native Microservices
2.6 Case Studies of Organizations Adopting Cloud-Native Microservices
2.7 Security Considerations in Cloud-Native Microservices
2.8 Performance Optimization Strategies for Cloud-Native Microservices
2.9 Tools and Technologies for Implementing Cloud-Native Microservices
2.10 Future Trends in Cloud-Native Microservices

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Population and Sampling
3.5 Ethical Considerations
3.6 Research Limitations
3.7 Research Validity and Reliability
3.8 Conclusions and Recommendations

Chapter 4: Findings and Discussion
4.1 Overview of Findings
4.2 Comparison of Findings with Existing Literature
4.3 Implications of Findings for Practice
4.4 Limitations of the Study
4.5 Areas for Future Research

Chapter 5: Conclusion
5.1 Summary of Findings
5.2 Contributions to Knowledge
5.3 Practical Implications
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview:

Cloud-native microservices architecture has emerged as a leading approach to building and deploying modern applications in the cloud. This thesis aims to provide an in-depth analysis of this architecture style, exploring its background, benefits, challenges, and best practices. By reviewing existing literature and conducting empirical research, this thesis seeks to shed light on the key factors influencing the success of cloud-native microservices and provide practical insights for organizations looking to adopt this architecture style.

Chapter 1 introduces the topic of cloud-native microservices architecture, providing a background of the study, outlining the problem statement, objectives, limitations, scope, significance of the study, and defining key terms. Chapter 2 conducts a comprehensive literature review on cloud-native microservices, covering topics such as evolution, benefits, challenges, best practices, case studies, security considerations, performance optimization, tools, technologies, and future trends.

Chapter 3 delves into the research methodology, discussing the research design, data collection methods, data analysis techniques, population and sampling, ethical considerations, research limitations, and validity and reliability. Chapter 4 presents the findings of the study and discusses them in relation to the existing literature, with implications for practice, limitations, and suggestions for future research. Finally, Chapter 5 provides a conclusion and summary of the thesis, highlighting key findings, contributions to knowledge, practical implications, recommendations for future research, and concluding remarks on cloud-native microservices architecture.

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