Open Access
Event Sourcing Patterns for Microservices Architecture
Marco Rossi
1
,
Emma Wilson
2
,
Pierre Martin
3
,
Alexandra Papadopoulos
4
,
Emma Wilson
2
,
Pierre Martin
3
,
Alexandra Papadopoulos
4
1
University of Bologna, Italy
2
University of Melbourne, Australia
3
INRAE, France
4
National and Kapodistrian University of Athens, Greece
Abstract
This study investigates this research area using advanced computational methods. We propose a novel framework that combines advanced algorithms with modern techniques to achieve improved performance. The experimental results demonstrate significant improvements, achieving up to 25% enhancement in overall efficiency. Our approach integrates multiple data sources to create comprehensive predictive models. The findings suggest that significant improvements can be achieved with the proposed approach.
Keywords
cloud computing,microservices,DevOps,containers,Kubernetes
How to Cite
Rossi, M., Wilson, E., Martin, P., & Papadopoulos, A. (2022). Event Sourcing Patterns for Microservices Architecture. Nivo Light - International Journal of Research & Innovation, 4(2), 30–35. https://doi.org/10.28051/ojstest-125
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