2019年11月4日
Today every company is a software company. Across all industries from retail to healthcare to financial services and more, software is at the heart of every company’s strategy.
2019年10月29日
Access to Diagnostic Logs is essential for any healthcare service where being compliant with regulatory requirements (like HIPAA) is a must. The feature in Azure API for FHIR that make this happen is Diagnostic settings in the Azure Portal UI.
2019年10月21日
Welcome back to another release of the unified Azure Data client libraries. For the most part, the API surface areas of the SDKs have been stabilized based on your feedback.
2019年9月10日
With each passing year, more and more developers are building cloud-native applications. As developers build more and more complex applications they are looking to innovators like Azure and HashiCorp to reduce the complexity of building and operating these applications. HashiCorp and Azure have worked together on a myriad of innovations.
2019年8月22日
Today we are announcing a preview for a new feature of Azure Policy. The guest configuration capability, which audits settings inside Linux and Windows virtual machines (VMs), is now ready for customers to author and publish custom content.
2019年8月19日
Python support for Azure Functions is now generally available and ready to host your production workloads across data science and machine learning, automated resource management, and more.
2019年8月13日
On Thursday, August 8, 2019, GitHub announced the preview of GitHub Actions with support for Continuous Integration and Continuous Delivery (CI/CD). Actions makes it possible to create simple, yet powerful pipelines and automate software compilation and delivery. Today, we are announcing the preview of GitHub Actions for Azure.
2019年8月8日
MATCH_RECOGNIZE in Azure Stream Analytics significantly reduces the complexity and cost associated with building, modifying, and maintaining queries that match sequence of events for alerts or further data computation.
2019年8月6日
If you’re experiencing problems with your applications, a great place to start investigating solutions is through your Azure Service Health dashboard. In this blog post, we’ll explore the difference.
2019年7月3日
This year at Microsoft Build 2019, we announced a slew of new releases as part of Azure Machine Learning service which focused on MLOps. These capabilities help you automate and manage the end-to-end machine learning lifecycle.