IT implementors

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.

Simplifying security for serverless and web apps with Azure Functions and App Service, Announcing Azure Dedicated HSM availability, Customers are using Azure Stack to unlock new hybrid cloud innovation, and so much more.

In countries around the world, natural disasters have been much in the news. If you had a hunch such calamities were increasing, you’re right. In 2017, hurricanes, earthquakes, and wildfires cost $306 billion worldwide, nearly double 2016’s losses of $188 billion.

Premium Blob Storage, which is currently in limited public preview, unlocks a new level of performance in public cloud object storage. It uses a combination of solid-state drives in our storage clusters and enhancements to our blob storage software to provide very fast response times.

The Microsoft Azure Dedicated Hardware Security Module (HSM) service provides cryptographic key storage in Azure and meets the most stringent customer security and compliance requirements.

Serverless and PaaS are all about unleashing developer productivity by reducing the management burden and allowing you to focus on what matters most, your application logic.

In this blog post we will discuss how to build a multi-tenant system on Azure Cosmos DB. Azure Cosmos DB itself is a multi-tenant PaaS offering on Azure.

For the past 25 years, companies of every size have trusted Windows Server and SQL Server to run their business-critical workloads. In fact, more than 70 percent of on-premises server workloads today run on Windows Server.

We’re committed to ensuring that you can run your workloads reliably on Azure. One of the areas we’re investing heavily into optimizing reliability is using the combination of machine learning and live migration to predict and proactively mitigate potential failures.