Enterprises are increasingly moving their applications and ETL pipelines to the cloud, resulting in a need for real-time cloud ETL solutions that can span multiple cloud providers. This blog post outlines a use case involving a log ingestion pipeline leveraging Confluent Cloud, which manages Apache Kafka brokers, Kafka connectors, Confluent Schema Registry, and ksqlDB. The pipeline demonstrates how developers can automate the ingestion process using the Confluent Cloud CLI, enabling seamless data flow between different cloud environments such as AWS, Azure, and Google Cloud. By configuring connectors for data sources like Amazon Kinesis and sinks like Google Cloud Storage, enterprises can efficiently handle multi-cloud requirements driven by business regulations, cost considerations, and cross-company acquisitions. This setup allows developers to choose applications based on their specific needs, independent of organizational cloud preferences, while Confluent Cloud serves as a central hub for managing data across cloud platforms. The post also suggests utilizing a promotional code for additional Confluent Cloud usage and highlights the benefits of using Confluent's managed services for enhanced security and integration capabilities.