Automated Student Data Pipeline with Kubernetes Deployment

Design a containerized microservices architecture for a student information system using Docker and Kubernetes. Create a scalable Python-based pipeline that can handle real-time data ingestion from multiple school systems, including student records, attendance, and performance metrics. Implement robust error handling, implement Prometheus monitoring, and develop a Helm chart for easy deployment across different educational institutions. Include comprehensive logging with ELK stack integration and demonstrate how the system can auto-scale based on peak registration periods.