Serverless Computing Optimization for Event-Driven Applications in Education Sector

Serverless computing has become a game changer in cloud computing. It allows developers to concentrate on application logic while the cloud provider takes care of infrastructure, scaling, and maintenance. This shift reduces operational burden and costs. In education, event-driven applications like online learning platforms, real-time assessments, interactive classroom tools, and automated feedback systems need to be highly responsive, have low latency, and scale dynamically to cope with changing user demand and unpredictable workloads. Traditional server-based setups often face problems like poor resource use, over-provisioning, and performance issues. These problems can hurt the user experience and raise operational costs.This research looks at ways to optimize serverless computing for educational applications. It includes methods like dynamic resource allocation, smart scheduling, predictive workload management, and function orchestration to cut down on cold-start delays and boost throughput. The proposed framework undergoes testing in different deployment scenarios, showing significant gains in execution time, scalability, and cost-effectiveness while ensuring high availability and fault tolerance.By helping real-time, event-driven educational applications work well under varying loads, the improved serverless approach provides a scalable, reliable, and cost-effective solution. This enhancement adds value to the overall learning experience and assists educational institutions in their digital transformation. It also lays the groundwork for future advancements in cloudbased educational technologies.