Part VII: Case Studies and Real-World Applications

In this section

• Chapter 17: Real-Time Data Processing Systems
  • ZeroMQ for Java: Designing a Real-Time Analytics Platform
    Explore the design of a real-time analytics platform using ZeroMQ in Java, covering data ingestion, processing pipelines, dashboards, and scalability.
  • ZeroMQ for Java: Integrating ZeroMQ with Big Data Technologies
    Explore how ZeroMQ integrates with big data technologies like Apache Hadoop, Spark, or Elasticsearch, enhancing real-time data processing capabilities.
• Chapter 18: Distributed Systems and Microservices
  • ZeroMQ for Java: Building Microservices Architectures
    Leverage ZeroMQ in Java to efficiently manage inter-service communication in microservices architectures, ensuring independent yet connected services.
  • ZeroMQ for Java: Service Discovery and Communication Patterns
    Explore strategies for service discovery and communication patterns in ZeroMQ-based microservices, enhancing scalability and resilience.
• Chapter 19: Internet of Things (IoT) Applications
  • ZeroMQ for Java: Integrating IoT Devices with Lightweight Messaging
    Explore ZeroMQ's role in managing IoT devices, focusing on lightweight messaging, device discovery, and strategies for handling connectivity issues.
  • ZeroMQ for Java: Managing Data Streams in IoT Systems
    Learn how to manage and process data streams from IoT devices using ZeroMQ in Java. Explore real-time processing, buffering strategies, and data integrity.
• Chapter 20: Financial Services and Trading Systems
  • ZeroMQ for Java: Low-Latency Messaging in Trading Platforms
    Explore how ZeroMQ facilitates low-latency messaging in financial trading platforms with Java, optimizing for speed, reliability, and performance.
  • ZeroMQ for Java: Ensuring Reliability and Consistency in Financial Systems
    Explore how ZeroMQ delivers reliability and consistency in financial systems by ensuring message delivery guarantees and transactional messaging.
  • ZeroMQ for Java: Creating a High-Throughput Stock Ticker Service
    Explore how to build a scalable, high-throughput stock ticker service using ZeroMQ and Java, covering system design, implementation, and testing.