Artificial Intelligence Enabled Microservice Container Orchestration to increase efficiency and scalability for High Volume Transaction System in Cloud Environment
Keywords:
Microservice, Cloud Migration, Containerization Distributed Systems, Microservice SecurityAbstract
The rapid evolution of microservice architecture and container orchestration in cloud environments has spurred interest in leveraging Artificial Intelligence (AI) to enhance the efficiency and effectiveness of these technologies. This research explores the intersection of AI, microservices, and container orchestration, investigating the potential benefits and challenges of integrating AI into the orchestration of microservices in cloud environments. Through a comprehensive review of the existing literature, the paper delves into the current state of microservice architecture, container orchestration tools, and the role of AI in cloud computing.
The methodology involves a careful examination of AI models and algorithms suitable for microservice container orchestration, along with practical experimentation to showcase the impact of AI on scalability, reliability, and performance. Real-world case studies provide insights into how organizations have successfully implemented AI in microservices and container orchestration, offering tangible examples of the advantages and potential pitfalls.
The results and discussion section presents findings from the study, comparing and contrasting with existing literature to draw meaningful conclusions. Additionally, the paper addresses challenges in integrating AI with microservice container orchestration and proposes future directions for research in this dynamic and rapidly evolving field. In conclusion, this research underscores the importance of AI in optimizing microservice container orchestration in cloud environments. The findings contribute to the broader understanding of how AI technologies can be harnessed to unlock new possibilities and address challenges in the deployment and management of microservices in the cloud.
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