Integration of cloud-based applications with on-premises systems and third-party services using APIs, webhooks, or message queues. Implementation of data synchronization and replication mechanisms to ensure consistency and coherence across distributed environments. Utilization of data integration platforms such as Apache Kafka, AWS Glue, or Azure Data Factory for real-time data processing and analytics.
Migration of legacy applications and databases to the cloud using techniques such as re-hosting, re-platforming, or replacing with cloud-native alternatives. Modernization of legacy systems through refactoring or containerization to leverage cloud-native features and improve scalability and performance. Integration of legacy systems with cloud services and platforms to extend functionality, enhance user experience, and drive innovation.