<ul><li>Uber has built an expansive architecture that powers real-time capabilities such as logistics services and ticket bookings.</li><li>Central to Uber’s application is its real-time nature, a fundamental aspect that sets it apart from many other applications.</li><li>The real-time interactions demand that the server rather than the app initiate much of the data push.</li><li>Uber's infrastructure combines various technologies to handle complex processes.</li><li>The company uses Google Spanner as the transactional database and custom frameworks for real-time event propagation and orchestration.</li><li>Behind-the-scenes, machine learning algorithms facilitate the dynamism of Uber’s different apps.</li><li>The data generated by Uber’s users and server-side data need to be meticulously synchronized.</li><li>Events and metadata are sent into Kafka for processing and storage in Uber’s Hive tables.</li><li>The app’s logic is informed by both current context and historical patterns.</li><li>Real-time orchestration and machine learning integration are essential to the smooth functioning of Uber’s different apps.</li></ul>

Uber revamps its operating model with real-time data and microservices orchestration

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