AWS is doing extremely well, with $2.57 billion in Q1 2016 revenue, a 64% increase from the previous year, indicating widespread adoption of its cloud services. Companies typically start by using cloud services for new applications or use-cases and then gradually migrate existing applications to the cloud, often requiring data synchronization between on-premises and cloud environments. This process can take years in mature organizations, highlighting the importance of planning and strategy. A common issue is having multiple, independent pipelines for different teams and applications, leading to increased operational costs and data quality concerns. To address this, a central-pipeline architecture using Apache Kafka can be implemented, streamlining data synchronization between on-premises and cloud deployments, reducing costs, accelerating migration times, and making the process more manageable and safer.