Cloud migration is increasingly important for businesses, with over 94% of companies already using cloud services. However, without proper monitoring, data pipelines can cause serious problems during the migration process. Monitoring helps maintain data integrity and quality, minimize downtime and interruptions, improve performance optimization, and enhance security and compliance. Key components of data pipeline monitoring include real-time data validation, error detection and alerting, performance metrics tracking, and scalability monitoring. To simplify data pipeline monitoring during cloud migration, consider implementing automation, setting clear SLAs, conducting regular audits and testing, and utilizing observability tools.