Developers

Since we launched Azure Pipelines in September, we’ve seen strong growth in adoption of our cloud hosted build and deployment service.

Today, we are announcing the general availability of Azure Machine Learning service. Azure Machine Learning service contains many advanced capabilities designed to simplify and accelerate the process of building, training, and deploying machine learning models.

Azure API Management is a fully managed service that enables customers to publish, secure, transform, maintain, and monitor APIs.

Today we are pleased to announce general availability (GA) of Azure Database for MariaDB. The Azure Database for MariaDB service offers an enterprise-ready, fully managed community version of MariaDB with easy lift-and-shift capability.

Today we are announcing we have open sourced Open Neural Network Exchange (ONNX) Runtime on GitHub. ONNX Runtime is a high-performance inference engine for machine learning models in the ONNX format on Linux, Windows, and Mac.

Today, we are announcing the general availability of Azure Stream Analytics (ASA) on IoT Edge, empowering developers to deploy near-real-time analytical intelligence closer to IoT devices, unlocking the full value of device-generated data.

Today, we’re announcing a new integration between Azure Boards and GitHub. Development teams using GitHub can now take advantage of the rich project management capabilities offered by Azure Boards, including Kanban boards, backlogs, sprint planning tools, queries, and multiple work item types.

The healthcare industry has started to embrace mobile apps and cloud technologies, and not just to optimize internal operations. Cincinnati Children’s Hospital Medical Center wants to make visits to hospitals and doctors’ offices easier for patients and families.

As part Azure Machine Learning service general availability, we are excited to announce the new automated machine learning (automated ML) capabilities.

We are at a tipping point in IoT where enterprises are moving from proof of concepts to production.

IoT solutions can be a hefty investment that you want to make sure to get right. Testing throughout the development lifecycle enables you to evaluate how well your IoT solution processes, manages, and presents device data ensuring project success.

Building on our announcements at Microsoft Ignite in September 2018, I’m excited to share several new announcements we are making to enable organizations to easily apply AI to transform their businesses.