2019· International Journal of Artificial Intelligence & Digital Transformation· Vol 2, pp. 01-07· 0 citations
TL;DR
This study combines systematic literature reviews, analysis of open-source applications, and insights from industry practitioners to provide a holistic understanding of the data management landscape in microservices.
Abstract
Microservices architecture has gained significant traction in developing scalable, resilient, and flexible applications by decomposing systems into small, autonomous services. This approach allows for specialized data management strategies tailored to each service's unique requirements. However, the distributed nature of microservices introduces complex data management challenges that are not adequately addressed by traditional software engineering practices alone. This paper investigates the current state of data management within microservices architectures, identifies prevalent challenges, and outlines potential research directions to advance the field. Our study combines systematic literature reviews, analysis of open-source applications, and insights from industry practitioners to provide a holistic understanding of the data management landscape in microservices.
Examining how Netflix has evolved its technological infrastructure through the adoption of microservices architecture, which has enhanced its scalability, fault tolerance, and overall performance, provides valuable insights into the broader implications of microservices architecture in modern software development.
C. Henríquez, Jarol Derley, Ramón Valencia et al.· 2 citations
Function-as-a-Service, actor runtimes, and microservice frameworks have emerged as popular platforms for scalable cloud applications. However, understanding the data management trade-offs of these solutions, not to mention their programming abstractions and architectural design, can be cumbersome for practitioners and...
R. Laigner, Xikun Jiang, Boris Düdder et al.· Proceedings of the VLDB Endo...· 0 citations
The analysis of performance has shown that the proposed solution is much better in terms of throughput, latency and fault isolation than the conventional architectures, proving that microservices architecture with proper design presents a solid base of scalable data-intensive systems.
S. Rahman· International Journal of App...· 0 citations
This paper explores the integration of Spring Boot with containerization and observability, focusing on best practices, architectural patterns, and challenges, and delves into containerization strategies using Docker and orchestration with Kubernetes, emphasizing their roles in deployment and scalability.
Youssef- Al-Habib, Omar Sullaiman· International Journal of Art...· 1 citation
The burgeoning landscape of research data needs increasingly sophisticated yet integrated approaches to data management. Data Management Plans (DMPs) have become a cornerstone of good practice, but their full potential for fostering FAIR principles remains constrained by fragmented systems and a lack of overarching orc...
Federico Grasso Toro· International Journal of Dig...· 0 citations
The literature on Microservices Architecture (MSA) presents numerous approaches for decomposing systems into microservices with the goal of improving quality attributes such as scalability, maintainability, and elasticity. Studies indicate that practitioners typically consider multiple objectives simultaneously when de...
V. Peczyński, J. Szłapczyńska· WiPiEC Journal - Works in Pr...· 0 citations
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