Microsoft driving standards for the token economy with the Token Taxonomy Framework
Today’s announcement of the Token Taxonomy Initiative (TTI) is a milestone in the maturity of the blockchain industry.
Developers
Fuel your development journey with cutting-edge tools and insights that cater specifically to the needs of developers, enhancing productivity and innovation.
-
-
Deploying Grafana for production deployments on Azure
Grafana is one of the popular and leading open source tools for visualizing time series metrics. -
.NET application migration using Azure App Services and Azure Container Services
Designed for developers and solution architects who need to understand how to move business critical apps to the cloud, this online workshop series gets you hands-on with a proven process for migrating an existing ASP. -
QnA Maker updates – April 2019
The QnA Maker service lets you easily create and manage a knowledge base from your data, including FAQ pages, support URLs, PDFs, and doc files. -
Microsoft at SAP Sapphire NOW 2019: A trusted path to cloud innovation
In a few weeks, over 22,000 people from around the globe will converge in Orlando, Florida from May 7-9, 2019 for the SAP Sapphire NOW and ASUG Annual Conference. -
Smarter, faster, safer: Azure SQL Data Warehouse is simply unmatched
Today, we want to call attention to the exciting news that Azure SQL Data Warehouse has again outperformed other cloud providers in the most recent GigaOm benchmark report. -
Want to evaluate your cloud analytics provider? Here are the three questions to ask.
We all want the truth. To properly assess your cloud analytics provider, ask them about the only three things that matter: independent benchmark results, company-wide access to insights, and security & privacy. -
Bitnami Apache Airflow Multi-Tier now available in Azure Marketplace
A few months ago, we released a blog post that provided guidance on how to deploy Apache Airflow on Azure. -
How do teams work together on an automated machine learning project?
When it comes to executing a machine learning project in an organization, data scientists, project managers, and business leads need to work together to deploy the best models to meet specific business objectives. -
How to accelerate DevOps with Machine Learning lifecycle management
DevOps is the union of people, processes, and products to enable the continuous delivery of value to end users. -
Leveraging AI and digital twins to transform manufacturing with Sight Machine
In the world of manufacturing, the Industrial Internet of Things (IIoT) has come, and that means data.
Explore Microsoft Foundry
The future of AI starts here. Envision your next great AI app with the latest technologies. Get started with Azure.
