Christmas Eve Automation: Building a Holiday Light Controller with Azure IoT
A fun project that combines cloud, IoT, and holiday spirit. Merry Christmas Eve!
32 articles
A fun project that combines cloud, IoT, and holiday spirit. Merry Christmas Eve!
Configure the edge deployment with appropriate resource limits and restart policies for reliable operation in edge environments with limited connectivity.
Enrich streaming data with reference data lookups for context-aware processing and alerting in real-time scenarios.
Edge AI architecture balances latency, privacy, and capability across processing tiers.
Edge AI Improvements: Deploying Intelligence at the Data Source
Sometimes the data can't come to the cloud. Today I'm exploring strategies for deploying AI models at the edge.
Edge computing with Azure provides the foundation for intelligent, responsive, and resilient IoT solutions.
This architecture provides a scalable, secure foundation for enterprise IoT solutions on Azure.
Implementing these security best practices creates a defense-in-depth approach for your IoT solutions.
Device twins provide the foundation for managing device state, configuration, and organization in IoT solutions.
DPS is essential for deploying and managing IoT devices at scale across multiple regions and IoT Hubs.
These IoT Hub updates enable more sophisticated device management and data processing scenarios.
Handle intermittent connectivity by storing data locally and forwarding when connected. Reduce data volume by aggregating at the edge before cloud sync.
These patterns form the foundation for building scalable, performant IoT database solutions.
Azure SQL Edge enables intelligent edge computing with the familiar SQL Server programming model.
This architecture handles billions of time-series data points while maintaining query performance for both real-time and historical analysis.
Edge AI in 2021 became accessible to mainstream developers. Azure IoT Edge, ONNX Runtime, and improved hardware made edge deployment practical for real…
Azure Percept makes edge AI accessible to developers without deep expertise in hardware or ML. Combined with Azure's cloud services, it enables…
Model GPU Use Case Pro (GPU) NVIDIA T4 AI inference, video analytics Pro (FPGA) Intel Arria 10 Hardware acceleration Pro R Rugged Harsh environments Mini R…
Azure Video Analyzer brings intelligent video analytics to both edge and cloud, enabling sophisticated spatial analysis and event detection for security…
Hybrid cloud is the trend right now I see in a lot of companies and enterprises. The term hybrid has grown too in the last couple of years. It used to be…
The goal is reducing the time from idea to edge-deployed AI from months to days. The platform uses Azure Custom Vision under the hood but abstracts away the…
ThreadX : RTOS kernel with preemptive scheduling NetX Duo : TCP/IP network stack (IPv4 and IPv6) FileX : FAT compatible embedded file system GUIX : Graphics…
1. Azure Sphere MCU : Secured silicon with hardware based security 2. Azure Sphere OS : Linux based secured operating system 3. Azure Sphere Security…
Azure Digital Twins was the service that reframed how I think about IoT data. Most IoT architectures I'd built treated device telemetry as a stream: events…
Device twins are the feature in Azure IoT Hub that solved a problem I didn't fully appreciate until a client had 3,000 industrial sensors in two factories…
Azure Stream Analytics sits in a specific niche that I've come to appreciate: SQL-native stream processing for teams who shouldn't have to learn Spark or…
Christmas Day, and a quiet thought from a quiet house: most "IoT projects" never get past slide three because the team doesn't have the platform to back the…
Streaming every sensor reading to the cloud sounds clean until you cost the bandwidth, or until the 4G link in the back of a truck drops for an hour. IoT…
A general-purpose database can store time-stamped data. It just gets sad about it once you're past a few hundred million rows and someone wants a five-year…
A facility manager I worked with last year asked the same question every IoT pitch eventually triggers: "great, you can stream sensor data—but can you tell…
Stream Analytics is one of those services I keep recommending and clients keep being surprised by — SQL on top of an event firehose, with windowing and…