Migrating Apache Kafka deployments is a complex and potentially costly engineering project, where hidden expenses such as engineering hours, downtime risk, and operational overhead can exceed visible costs like infrastructure and licensing. Successfully managing a Kafka migration requires careful planning, including infrastructure rework, provisioning, and the use of tools like Cluster Linking and the Confluent Migration Accelerator Program to minimize downtime and manual effort. Comparing the costs of self-managed Kafka with Confluent Cloud reveals significant savings by reducing operational burdens, with the latter offering up to 60% lower total cost of ownership. Real-world examples, such as Skai and SecurityScorecard, demonstrate substantial cost reductions and operational efficiencies achieved by migrating to Confluent Cloud, which provides a fully managed, serverless data streaming platform that eliminates the complexities of self-managing Kafka infrastructure.