Internet of things

Azure Functions provides a productive programming model based on triggers and bindings for accelerated development and serverless hosting of event-driven applications.

Catch up on Azure – Preview: Distributed tracing support for IoT Hub; Update to Azure DevOps Projects support for Azure Kubernetes Service; More reliable event-driven applications in Azure with an updated Event Grid; and more.

The Internet of Things (IoT) has expanded the world of computing far beyond mobile and PC, bringing a new and ever-growing class of cloud-connected devices that is on track to reach 20 billion devices by 2020.

The Internet of Things (IoT) is becoming mainstream. Companies are seeing market-making benefits from IoT and deploying at scale – from transforming operations and logistics, remote monitoring, and predictive maintenance at the edge to new consumer experiences powered by connected devices.

It’s amazing to look back at everything we’ve learned from our customers since we first released HoloLens.

Most IoT solutions, including our Azure IoT reference architecture, use several different services. An IoT message, starting from the device, could flow through a dozen or more services before it is stored or visualized.

We have been incredibly excited to be a part of the rise of event-driven programming as a core building block for cloud application architecture.

Actuating Mobility in the Enterprise with New Azure Maps Services and SDKs; Under the hood: Performance, scale, security for cloud analytics with ADLS Gen2; Moving your Azure Virtual Machines has never been easier; and more!

The Azure Sphere 19.02 release is available today.

Built-in machine learning models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. This feature is now available for public preview worldwide.

The IT industry is experiencing a shift from monolithic applications to microservices-based architectures.

Customers love Azure Stream Analytics for its ease of analyzing streams of data in movement, with the ability to set up a running pipeline within five minutes.