Secure AI-Driven ERP Optimization Cloud-Native DevOps and Markov Decision Processes for Scalable Web Application Ecosystems
DOI:
https://doi.org/10.15680/IJCTECE.2024.0701006Keywords:
Cloud Migration, ERP Systems, DevOps, Automation, Oracle Database Management, Scalability, Data Security, Digital Privacy, Enterprise Applications, Continuous IntegrationAbstract
The integration of scalable Enterprise Resource Planning (ERP) systems with cloud-native DevOps strategies is pivotal for modern enterprises aiming to enhance operational efficiency and agility. This research evaluates online automated applications facilitating the migration of ERP systems to cloud environments, focusing on Oracle Database Management. The study examines frameworks that automate the migration process, ensuring minimal disruption and optimized performance. By leveraging cloud-native DevOps practices, organizations can achieve continuous integration and delivery, fostering a culture of collaboration and rapid iteration. The research methodology includes a systematic review of existing literature, case studies, and empirical data to assess the effectiveness of these automated frameworks. Key findings highlight the benefits of automation in reducing manual intervention, enhancing scalability, and improving data security during migration. However, challenges such as data privacy concerns, integration complexities, and the need for skilled personnel are also identified. The study concludes with recommendations for organizations considering ERP migration, emphasizing the importance of selecting appropriate frameworks and adopting best practices to mitigate risks and maximize benefits.
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