Monitoring and analysis of streaming data, such as social media, sensors, and news feeds, has become increasingly important. To effectively support monitoring and analysis, statistical and visual analytics techniques need to be seamlessly integrated; analytic techniques for a variety of data types (e.g., text, numerical) and scope (e.g., incremental, rolling-window, and global) must be properly accommodated; interaction and coordination among several visualizations must be supported in an efficient manner; and the system should support the use of different analytics techniques in a pluggable and collaborative manner. In this poster we discuss architectural patterns for real-time visual analytics based on building a real-time Twitter monitoring application.