Scalable and fault-tolerant microservices architecture: Leveraging AI-driven orchestration in distributed cloud systems

Rajesh Kesavalalji *

Current Senior Software Engineer.
 
Research Article
International Journal of Science and Research Archive, 2024, 13(01), 3501-3511.
Article DOI: 10.30574/ijsra.2024.13.1.1566
Publication history: 
Received on 24 July 2024;  revised on 22 September 2024; accepted on 25 September 2024
 
Abstract: 
Artificial intelligence in microservices orchestration takes cloud computing to the next level, creating a fully automated, scalable, and efficient environment. Ai orchestration can optimize resource allocation along with increased fault tolerance in predictive analytics for large applications. This paper speaks about the contribution of AI in microservices orchestration, which has real-life applications like Netflix, Uber, and Amazon. Major differences between AI-enhanced microservices management and traditional microservices management include reliability in services through AI, performance, and improvement. Problems with AI orchestration integration include security vulnerabilities, ethical concerns, and complicated compliance. Future aspects of AI-powered cloud-native technologies affecting DevOps and SRE are discussed in the paper. Intelligent microservices architectures will be developed in future by AI-based orchestration towards auto-adaptive and self-optimizing systems and thus reshape the cloud computing future.
 
Keywords: 
AI-Driven Orchestration; Microservices Architecture; Cloud Computing; Intelligent Automation; Devops; Site Reliability Engineering (SRE); Resource Allocation; Predictive Analytics; Security Challenges; Cloud-Native Technologies
 
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Copyright information: 

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0