Source of this article and featured image is DZone IoT. Description and key fact are generated by Codevision AI system.

This article explores the practical application of event-driven architecture in IoT development, highlighting the advantages of using publish-subscribe patterns over traditional polling methods. The author, Bhavna Hirani, shares real-world examples and code snippets to illustrate how these patterns can improve system performance and scalability. The tutorial is especially useful for developers working on microservices, stream processing, and distributed systems. Readers will gain hands-on knowledge of implementing event-driven systems, including optimizing ML models for production environments and setting up observability tools. It provides a clear path to building efficient, scalable, and maintainable architectures.

Key facts

  • Event-driven architecture is more efficient than polling for real-time IoT systems, reducing CPU usage and network traffic.
  • Using MQTT publish-subscribe patterns can lower latency to under 100 milliseconds and improve system flexibility.
  • A stream processing architecture with routing, aggregation, prediction, and execution layers helps manage high volumes of data on edge devices.
  • Observability is crucial for monitoring system health, with metrics like throughput, latency, and error rates being essential for debugging.
  • ML model optimization techniques such as quantization, pruning, and knowledge distillation can reduce model size by up to 50 times while maintaining acceptable accuracy.
See article on DZone IoT