Chapter 15: EDA for User Interfaces and IoT Systems

In this section

• 15.1 Event-Driven User Interfaces
  • Reactive UI Design Principles for Event-Driven User Interfaces
    Explore the principles of designing reactive user interfaces in event-driven architectures, focusing on asynchronous data handling, reactive programming, state management, and more.
  • Real-Time Data Updates in Event-Driven User Interfaces
    Explore techniques for implementing real-time data updates in event-driven user interfaces, including WebSockets, Server-Sent Events, real-time databases, GraphQL subscriptions, and more.
  • Integration with Backend Event-Driven Architecture Systems
    Explore the integration of user interfaces with backend event-driven architecture systems, focusing on API contracts, event buses, middleware, real-time analytics, secure communication, API gateways, event handlers, and testing.
• 15.2 Event-Driven IoT Architectures
  • Unique Challenges in IoT Event-Driven Architecture (EDA)
    Explore the unique challenges faced in implementing Event-Driven Architectures for IoT systems, including data stream management, connectivity issues, and security vulnerabilities.
  • Security Considerations for IoT Events: Ensuring Robust Security in Event-Driven IoT Architectures
    Explore essential security measures for IoT events in event-driven architectures, including authentication, encryption, access control, and anomaly detection.
  • Event Processing at the Edge: Enhancing IoT Systems with Localized Event Handling
    Explore the role of edge computing in event-driven IoT architectures, focusing on local event processing to reduce latency, bandwidth usage, and enhance real-time decision-making.
• 15.3 Designing for Low Latency and High Throughput
  • Optimizing Event Flow for Low Latency and High Throughput in Event-Driven Architectures
    Explore strategies for optimizing event flow in event-driven architectures to achieve low latency and high throughput, including efficient data pipelines, high-performance messaging brokers, parallel processing, and more.
  • Minimizing Bottlenecks in Event-Driven Architectures for Low Latency and High Throughput
    Explore strategies to identify and minimize bottlenecks in event-driven architectures, enhancing performance for user interfaces and IoT systems.
  • Ensuring Real-Time Responsiveness in Event-Driven Architectures
    Explore strategies and technologies to ensure real-time responsiveness in event-driven architectures, focusing on frameworks, edge computing, and priority queuing.
• 15.4 Scalability in UI and IoT Contexts
  • Scaling Frontend Event Handlers for Optimal Performance
    Explore strategies for scaling frontend event handlers in event-driven architectures, focusing on load balancing, auto-scaling, performance optimization, and high availability.
  • Managing High Volume IoT Events in IoT Systems
    Explore strategies for managing high-volume IoT events using event-driven architecture patterns, including efficient event ingestion, partitioning, data serialization, and real-time processing.
  • Leveraging Cloud Services for Scalability in Event-Driven Architectures
    Explore how cloud services enhance scalability in event-driven architectures, focusing on managed messaging, serverless processing, scalable storage, and more.