Stream Processing

A deep-dive into real-time IoT data processing architectures, from MQTT stream pipelines and complex event processing to NPU-equipped gateways, time-series engines, and energy-efficient inference on battery-powered sensors. Covers IIoT predictive maintenance, smart city infrastructure, healthcare monitoring, fleet OTA updates, and production deployment patterns for 2026.

Explore the benefits and challenges of event-driven architecture in designing scalable and responsive systems. Covers Kafka, RabbitMQ, event sourcing, CQRS, saga patterns, stream processing, observability, and real-world case studies from Netflix, Uber, and LinkedIn.

Edge AI is fundamentally restructuring data processing pipelines, replacing centralized batch architectures with distributed, intelligent filtering at the source. Analysis of three-tier pipeline design, federated learning, on-device feature engineering, and the operational realities of managing model drift across thousands of edge nodes in 2026.