The landscape of software-enabled systems has changed dramatically over the last ten years in terms of ubiquity, scale, and complexity. The resultant proliferation of data has given rise to the need for data analytics and data scientists. The availability of machine learning technology has exploded, creating many opportunities to explore its use in unprecedented areas. Autonomous and semi-autonomous systems have arrived. Humans have moved inside the system boundary resulting in cyber-physical-social systems. Open source libraries, frameworks, microservices, continuous development supported by tool chains, and agile approaches all aim to satisfy the appetite for accelerated capability from these systems. This talk will survey these trends and their impact on today’s software engineering. Of particular focus will be their impact on the software architecture of these systems: how universal and timeless is attention to architecture and does that attention still scale to the world we now inhabit?