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145 articles published

MQTT over QUIC: What It Means for IoT Edge Transport in 2026

MQTT 5.1's QUIC transport layer support changes the performance and reliability equation for IoT deployments with unreliable connections, mobile devices, and high-latency edge networks. Here's what's changed and what it means in practice.

V2X and C-V2X: How Edge Computing Is Enabling Smart Transportation

Vehicle-to-everything (V2X) communication lets cars, traffic infrastructure, pedestrians, and networks exchange real-time safety and traffic data. Cellular V2X (C-V2X) over 5G puts the compute at the edge, reducing latency to the sub-10ms range needed for collision avoidance. Here's how the architecture works, what's deployed, and where the standard is heading.

LTE-M vs NB-IoT vs Cat-M1: Choosing the Right LPWAN for Industrial IoT in 2026

LTE-M, NB-IoT, and Cat-M1 are often treated as interchangeable LPWAN options. They're not. Each has distinct characteristics around latency, power consumption, mobility support, and data throughput that make them suited to different industrial applications. Here's how to choose.

5G-Advanced (Release 18): What It Changes for Mobile Edge Computing

3GPP Release 18 — the first version officially branded 5G-Advanced — is rolling out through 2026, bringing significant capabilities for Mobile Edge Computing. Here's what changes for IoT, industrial networks, and edge AI deployments.

Eclipse Zenoh: Unified Data Protocol for IoT, Edge, and Robotics

Eclipse Zenoh is a publish/subscribe and query protocol designed to work seamlessly from constrained IoT sensors through to edge nodes and cloud, with zero-overhead on microcontrollers and high throughput for robotics data streams.

KEDA: Event-Driven Autoscaling for Kubernetes IoT and Edge Workloads

KEDA (Kubernetes Event-Driven Autoscaling) scales pods to zero and back based on external event sources — MQTT queues, Kafka topics, database row counts, and more. Here's how to use it for IoT data pipelines and edge Kubernetes deployments.

SPIFFE and SPIRE: Workload Identity for IoT and Edge Kubernetes

SPIFFE defines a standard for workload identity using X.509 certificates and JWTs. SPIRE is its reference implementation. Together they provide automatic mTLS and service-to-service authentication for IoT data pipelines and edge Kubernetes clusters without managing certificates manually.

Arduino Opta: Programming a Modern Industrial PLC for IIoT Workflows

Arduino Opta is a micro-PLC that brings Arduino's development experience and MicroPython to industrial control applications. Here's how it works, what it supports, and how it fits into modern IIoT architectures alongside cloud and edge platforms.

Golioth: Cloud-Managed IoT Device Fleet Operations for Embedded Developers

Golioth provides OTA firmware updates, device state sync, remote logging, and time-series data pipelines for embedded IoT devices -- built around Zephyr RTOS but supporting bare-metal and other RTOS targets. Here's how it compares to building your own backend and when it makes sense.

AWS IoT SiteWise: Industrial Equipment Monitoring at the Edge

AWS IoT SiteWise gives industrial operations teams a managed service for ingesting, structuring, and analysing equipment data at the edge and in the cloud. Here's how the asset model works, what SiteWise Edge handles locally, and where it fits against DIY time-series stacks.

IEC 62443: The Cybersecurity Standard for Industrial Control Systems and IIoT

IEC 62443 is the primary international standard for securing industrial automation and control systems — covering OT networks, IIoT gateways, PLCs, RTUs, and the entire industrial edge. Here's what it covers, how its security levels and zones work, and what it means for device manufacturers and system operators.

Yocto Project: Building Custom Linux Images for Edge IoT Devices

The Yocto Project is the standard approach for building minimal, reproducible Linux distributions for embedded and edge devices. This guide covers layers, recipes, and machine configurations — and when Yocto makes sense versus lighter alternatives.

5G Network Slicing and MEC for Industrial IoT Applications

5G network slicing lets operators carve out guaranteed network segments for specific industrial use cases. Combined with Multi-access Edge Computing, it enables low-latency, high-reliability IoT deployments that weren't achievable with Wi-Fi or 4G. Here's how it works and where it fits.

DittoLive: Peer-to-Peer Sync for Offline-First Edge and IoT Apps

DittoLive is a peer-to-peer sync SDK that keeps data consistent across mobile devices, edge nodes, and IoT endpoints without requiring continuous cloud connectivity. This guide covers how it works, how it differs from traditional cloud-sync architectures, and where it fits in edge IoT deployments.

Matter Protocol: The Unified Smart Home IoT Standard Explained

Matter is the open, IP-based smart home standard backed by Apple, Google, Amazon, and Samsung that finally makes IoT devices interoperable. This guide covers how Matter works technically, what Thread adds, and what the standard means for commercial and industrial IoT deployments.

Grafana and InfluxDB for IoT Dashboards: Real-Time Edge Monitoring in 2026

Grafana and InfluxDB are the most widely deployed open-source stack for IoT time-series monitoring. This guide covers the TICK stack architecture, InfluxDB 3.0 vs 2.x trade-offs, Telegraf for sensor data ingestion, and building production Grafana dashboards with alerting for edge deployments.

FreeRTOS: Getting Started with the Most Deployed RTOS for IoT Devices in 2026

FreeRTOS is the most widely deployed real-time operating system for microcontrollers, running on billions of devices from ESP32 to STM32. This guide covers task scheduling, queues, semaphores, and FreeRTOS Plus connectivity libraries for IoT projects, with practical C code examples.

LoRaWAN for IoT: Long-Range, Low-Power Connectivity for Edge Sensor Networks

LoRaWAN has passed 125 million deployed devices and is accelerating — driven by smart agriculture, city monitoring, industrial predictive maintenance, and increasingly, on-device AI at the sensor edge. Here's how the technology works and where it fits in your IoT architecture.

MicroPython vs CircuitPython: Choosing a Python Runtime for IoT Projects

MicroPython and CircuitPython both bring Python to microcontrollers, but they target different use cases, ecosystems, and developer audiences. Here's how they compare for IoT projects in 2026, covering hardware support, library ecosystems, performance, and when to choose each.

CAN Bus and Edge Computing: Bridging Automotive and Industrial IoT

CAN bus remains the backbone of automotive and industrial control networks, but connecting it to edge computing platforms unlocks real-time analytics, predictive maintenance, and remote monitoring. Here's how the integration works in practice.

Raspberry Pi AI HAT+: Running Neural Networks at the Edge

The Raspberry Pi AI HAT+ adds 26 TOPS of dedicated neural network processing to a standard Raspberry Pi 5 — making it a capable edge inference platform for computer vision, audio classification, and real-time sensor data analysis.

NVIDIA Holoscan SDK: Building AI-Powered Sensing Applications at the Edge

NVIDIA Holoscan is a streaming data processing platform designed for low-latency AI inference on sensor data — medical imaging, industrial inspection, robotics — running on Jetson AGX Orin and ConnectX SmartNICs. This guide covers the architecture, use cases, and how to evaluate whether it fits your edge AI application.

IO-Link Wireless: Cutting the Cable on Industrial Sensor Networks

IO-Link Wireless extends the world's most widely deployed industrial sensor protocol to operate without cables, enabling flexible manufacturing, rotating equipment monitoring, and mobile robotics — all within the IEC 61131-9 standard.

Unified Namespace: OPC UA over MQTT for Industry 4.0 Architecture

The Unified Namespace (UNS) is the dominant data architecture pattern for Industry 4.0, using MQTT as a central data hub and OPC UA for semantic modeling. This guide explains UNS principles, implementation approaches, and how it compares to traditional ISA-95 hierarchies.

GitOps for Edge IoT Fleets: Managing Device Configuration with Flux CD

GitOps applies the same declarative, version-controlled approach that works for Kubernetes clusters to edge device fleets — with Git as the source of truth and automated reconciliation keeping devices in sync. This guide covers the architecture and how Flux CD implements it for edge IoT.

LoRaWAN: Long-Range Low-Power IoT Connectivity for Remote Monitoring

LoRaWAN enables IoT sensors to transmit data over kilometres on a single battery charge, making it the go-to connectivity standard for agriculture, utilities, and smart city deployments where cellular and Wi-Fi don't reach or aren't cost-effective.

MQTT Broker Comparison 2026: EMQX vs Mosquitto vs HiveMQ for IoT at Scale

Choosing an MQTT broker is one of the most consequential infrastructure decisions for any IoT deployment. This comparison covers Mosquitto (lightweight, open-source), HiveMQ (enterprise Java), and EMQX (cloud-native scale) — with benchmarks, deployment models, and honest trade-offs.

Eclipse Ditto: Open Source IoT Digital Twins Without the Lock-In

Eclipse Ditto provides a digital twin framework for IoT deployments — a REST and WebSocket API layer that represents physical devices as queryable, stateful objects. Here's what it is, how it fits into an edge architecture, and when to use it.

Redpanda at the Edge: Kafka-Compatible Streaming Without the JVM

Redpanda is a Kafka-compatible streaming platform written in C++ that runs on modest edge hardware — making it a compelling alternative to Kafka in industrial IoT and edge deployments where JVM overhead, ZooKeeper, and operational complexity are deal-breakers.

Mender.io: Open-Source OTA Updates for Embedded Linux IoT Fleets

Mender is an open-source over-the-air update system designed specifically for embedded Linux devices — with atomic updates, automatic rollback, and a deployment management server that scales from a handful of devices to millions.

NATS.io for IoT and Edge Computing: Lightweight Messaging at Scale

NATS is a high-performance messaging system built for cloud-native and edge environments. With its JetStream persistence layer, NATS handles IoT telemetry, command delivery, and device coordination with far less complexity than Kafka or MQTT brokers.

K3s: Lightweight Kubernetes for Edge Computing and IoT Fleet Management

K3s packages Kubernetes into a single 70MB binary that runs on devices with 512MB of RAM. Here's how edge operators are using it to manage distributed fleets, what makes it different from full K8s, and how to get started with a multi-node edge cluster.

MQTT Sparkplug B: The Industrial IoT Standard That Brings Structure to Your SCADA Data

Raw MQTT is flexible but unstructured — every team defines their own topic hierarchy and payload format. Sparkplug B adds a standardised topic namespace, protobuf payload encoding, and stateful session management on top of MQTT, making it the dominant open standard for IIoT and SCADA data integration. Here's how it works and when to use it.

AIoT in 2026: When Edge Devices Stop Reporting and Start Deciding

AIoT is moving beyond on-device inference to agentic systems — IoT devices that don't just process sensor data locally but reason, plan, and take action without waiting for cloud instruction. Here's what that shift means technically and operationally.

Running LLMs at the Edge: llama.cpp, Ollama, and Local AI Inference in 2026

Smaller, efficient language models are now deployable on edge hardware ranging from NVIDIA Jetson to Apple Silicon servers — without cloud API round-trips. This guide covers the tools, model selection, and deployment patterns for on-device LLM inference in edge and IoT environments.

SQLite at the Edge: Embedded Databases for IoT and Constrained Devices

SQLite is the most deployed database in the world, and it runs on hardware you'd never expect. This guide covers when SQLite makes sense on edge and IoT devices, how to configure it for constrained environments, and the patterns that work well for local data storage at the edge.

Thread Protocol for Smart Homes and IoT: The Mesh Network Behind Matter

Thread is the low-power mesh networking protocol that Matter runs on — but most developers and deployers know little about it. Understanding Thread explains why Matter devices behave differently to Zigbee and Z-Wave, why Border Routers matter, and how to design IoT networks that are genuinely resilient. This guide covers Thread's architecture, its role in the Matter ecosystem, and practical deployment considerations.

WASI 0.3 and Native Async: What Edge and IoT Developers Need to Know

WASI 0.3 brings native async/await to the WebAssembly Component Model, making networked IoT workloads and edge microservices far cleaner to write. This guide explains what changed, how the new future<T> and stream<T> types work, and what it means for your edge deployments.

Rust Embassy: Async Embedded Programming for IoT and Edge Devices

Embassy is a Rust framework for writing async, non-blocking firmware for microcontrollers — enabling the same async/await patterns used in server code on bare-metal hardware without an operating system. Here's how it works and why it's becoming the preferred approach for Rust-based edge devices.

Complete Guide to Edge Computing Architecture 2026

What edge computing actually is, how to design a production-grade edge architecture, and the decision framework for choosing edge vs. cloud -- with real-world deployment examples.