Internet of things

Analytics in Azure is up to 14x faster and costs 94% less than other cloud providers; Announcing updates to 3 great Azure Data services; Azure Cost Management now GA for EA customers; and more.

Connectivity is often the first challenge in the Internet of Things (IoT) world, that’s why more than three years ago we released Azure IoT SDKs.

Azure IoT Edge is a fully managed service that allows you to deploy Azure and third-party services—edge modules—to run directly on IoT devices, whether they are cloud-connected or offline.

With Azure DevOps Projects we want to make it is easy for you to set up a fully functional DevOps pipeline tailored to the development language and application platform you want to leverage.

Azure IoT Edge is supported on virtual machines, allowing customers to leverage existing infrastructure as part of a solution which spans the intelligent edge and intelligent cloud.

Many of the conveniences we enjoy today are dependent on the infrastructure cities and municipalities provide, such as water mains, streetlights, and roads. This infrastructure and its associated technology support our transportation systems, schools, hospitals, and more.

Our goal in the Azure Stream Analytics team is to empower developers and make it incredibly easy to leverage the power of Azure to analyze big data in real-time.

The healthcare industry is poised for massive transformation. With an aging population, chronic diseases, and increased regulations, healthcare costs continue to balloon—along with patient and provider expectations for better outcomes.

This week, at The Things Conference in Amsterdam, Microsoft and The Things Network Foundation collaborate with 2,000 LoRaWAN developers, innovators, and integrators on connecting devices to Azure IoT Central using the open source project Azure IoT Central Device Bridge.

Microsoft acquires Citus Data to accelerate PostgreSQL perf and scale; IoT Hub device streams now in public preview; Azure API Management support for OpenAPI Specification v3 in preview; and so much more.

As part of our ongoing commitment to open and interoperable artificial intelligence, Microsoft has joined the SciKit-Learn consortium as a Platinum member and released tools to enable increased usage of SciKit-Learn pipelines.

Do you know how to develop and source control your Microsoft Azure Stream Analytics (ASA) jobs? Do you know how to setup automated processes to build, test, and deploy these jobs to multiple environments?