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Abstract: goat Q, a distributed message broker explores the design and implementation of a robust message broker system. Utilizing advanced distributed concepts of network and synchronization the project aims to enhance efficiency and reliability of message delivery which fits in an event driven system. It also ensures fault tolerance and scalability. It also considers the integration with containerization and on premise and cloud deployment models to use goatQ as a message broker solution in production. The project seeks to unravel the intricate design of message brokers, illuminating the functionality of publishers, subscribers, and message queues. A key focus lies in a rigorous performance analysis, evaluating metrics such as throughput, latency, and resource use across wide variety message broker implementations. Scalability and fault tolerance, critical considerations in the realm of distributed systems, are addressed through an exploration of how message brokers adapt to dynamic scaling requirements and recover from failures. By synthesizing findings from diverse dimensions of message broker technology, this research project aims to equip technology professionals with valuable insights, aiding informed decision-making in the selection, optimization, and integration of message brokers within their ecosystems.