Sharing the DevOps journey at Microsoft
At Microsoft, we know DevOps adoption can be challenging.
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Azure SQL Data Warehouse is now Azure Synapse Analytics
On November fourth, we announced Azure Synapse Analytics, the next evolution of Azure SQL Data Warehouse. -
Accelerating cloud-native application development in the enterprise
Using products like Azure Kubernetes Service (AKS), organizations are able to build distributed applications that are more resilient and dynamically scalable, while enabling portability in the cloud and at the edge. -
Serverless for the enterprise with Microsoft Azure
Cloud computing has opened new paradigms that enable enterprises to reach new levels of productivity and scale. -
Azure infrastructure as a service (IaaS) for every workload
This week at Microsoft Ignite, we announced several important additions to our Azure infrastructure as a service (IaaS) portfolio. -
Growing partner opportunity with Azure innovation
At Microsoft Ignite, we shared a ton of new product and business news, across Microsoft’s unique technology stack—spanning on-premises, client, server, and cloud. -
Azure Machine Learning—ML for all skill levels
Enterprises today are adopting artificial intelligence (AI) at a rapid pace to stay ahead of their competition, deliver innovation, improve customer experiences, and grow revenue. -
Azure services now run anywhere with new hybrid capabilities: Announcing Azure Arc
Today, we are announcing Azure Arc, a set of technologies that unlocks new hybrid scenarios for customers by bringing Azure services and management to any infrastructure. -
Build a data-driven culture to accelerate innovation
Organizations today must embrace a data-driven culture or risk being left behind. -
New in Stream Analytics: Machine Learning, online scaling, custom code, and more
Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights. -
TensorFlow 2.0 on Azure: Fine-tuning BERT for question tagging
Congratulations to the TensorFlow community on the release of TensorFlow 2. -
Automated machine learning and MLOps with Azure Machine Learning
Azure Machine Learning is the center for all things machine learning on Azure, be it creating new models, deploying models, managing a model repository and/or automating the entire CI/CD pipeline for machine learning.