The modern home is increasingly becoming a hub of automated efficiency, necessitating the integration of diverse technologies. This paper introduces a FreeBSD-based system that seamlessly integrates Home Assistant, Apache Kafka, and OpenSearch for managing essential home functions such as lighting, shutters, and energy consumption. The system adeptly utilizes a range of data sources, including proprietary protocols like KNX and versatile ReST-APIs, to facilitate real- time analytics and event-triggered responses. This results in a self-learning home automation environment, uniquely prioritizing energy optimization while simultaneously enhancing comfort in contemporary homes.