Cloud-Native Intelligent Computing Platforms for Secure, Scalable, and Automated Infrastructure

Abstract

Cloud-native​‍​‌‍​‍‌ computing has witnessed fast evolution starting from mere virtualization and containerization to very dynamic, distributed ecosystems that are at the heart of digital services of today across all the industries. As businesses go on leveraging cloud-native platforms, the need for smart, self-reliant, scalable, and secure infrastructure becomes a necessity. However, most of the current platforms treat these four components – intelligence, automation, scalability, and security - as four separate entities. This often results in increased operational complexity, lower efficiency, and higher security risks when scaled. Their fragmentation points to a big research gap in the creation of unified cloud-native intelligent computing platforms that will not only be able to seamlessly integrate these capabilities but also continually adapt to changes in workloads and the threat landscape. The authors of this paper fill that gap by putting forward a cloud-native intelligent computing platform which is essentially an architectural framework integrating AI-based decision-making, policy-based automation, elastic resource orchestration, and security mechanisms. This framework is realized through the use of container orchestration, microservices, real-time monitoring, and machine learning models for accomplishing such tasks as predictive scaling, automated fault management, and proactive security enforcement in distributed environments. An empirical study and a comparative evaluation serve as proof-of-concept that the platform results in better resource utilization, lesser operational overhead, improved system resilience, and a more robust security posture when contrasted with traditional cloud-native approaches. This paper's main points include an all-round architectural model for intelligent cloud-native infrastructure, a hands-on automation policy resulting in minimal human intervention, and a fully-integrated security-by-design mindset, which is in line with scalability needs. In summary, this work outlining the integration of intelligence and automation into the very essence of cloud-native platforms has shown its potential in giving us more resilient, efficient, and reliable infrastructure suitable for next-generation computing ​‍​‌‍​‍‌systems.