Description: AI-Enabled Serverless Engineering for Autonomous Cloud Operations explores how intelligent automation transforms cloud computing into self-managing, adaptive systems. It combines Artificial Intelligence with Serverless Computing to build applications that run without manual infrastructure management.
In this approach, AI models monitor system performance, predict workloads, and automatically scale resources, enabling efficient and cost-effective operations. Serverless platforms execute code in response to events, while AI ensures optimization, fault detection, and self-healing capabilities.
This integration supports autonomous cloud environments by improving reliability, reducing operational complexity, and enhancing scalability. It is widely applicable in modern DevOps, microservices architectures, and real-time applications, driving innovation in cloud-based software engineering.