iot

Learn how to design and build ingestion APIs for IoT systems — handling high-throughput device data, batching, validation, backpressure, and storage strategies with practical examples.

Master real-time IoT data pipelines. Covers ingestion architectures, stream processing with Kafka Streams and Flink, batch vs stream trade-offs, Lambda and Kappa architectures, data transformation, storage strategies, and building production pipelines.

Master device lifecycle management, OTA firmware updates, device shadows, configuration sync, and fleet management at scale in production IoT systems.

Master MQTT for production IoT systems. Covers topic design patterns, QoS trade-offs, session management, TLS/mTLS security, ACL authorization, broker clustering with EMQX and HiveMQ, and scaling to millions of connections.

Learn edge computing and fog architecture for IoT systems. Covers edge vs fog vs cloud, data filtering, store-and-forward, edge runtimes (AWS Greengrass, Azure IoT Edge, K3s), and offline-first patterns.

Deep dive into IoT communication protocols. Learn MQTT pub/sub with QoS, CoAP for constrained devices, AMQP for enterprise messaging, and WebSocket for real-time dashboards with practical setup examples.

Learn IoT architecture layers, device types, connectivity options (WiFi, BLE, LoRaWAN, 5G), communication protocols (MQTT, CoAP, AMQP), message patterns, digital twins, and IoT vs IIoT.

Master IoT development from fundamentals to production systems. Learn MQTT, edge computing, data pipelines, security, and scaling patterns in this comprehensive 12-post series.