Hyperlight Nanvix: POSIX support for Hyperlight Micro-VMs
The Cloud Native Computing Foundation’s (CNCF) Hyperlight project delivers faster, more secure, and smaller workload execution to the cloud-native ecosystem.
The Cloud Native Computing Foundation’s (CNCF) Hyperlight project delivers faster, more secure, and smaller workload execution to the cloud-native ecosystem.
Today we are announcing the release of Accessibility Insights for Android, a new addition to our family of open source tools that help developers find and fix accessibility issues early in the development process.
On behalf of HashiCorp and Microsoft, I am excited to announce the release of version 2.0 of the Azure Provider for Terraform. Version 2.0 is a major version upgrade that incorporates a number of features that customers have been asking for, as well as a whole host of smaller but impactful changes.
This post is co-authored by Emma Ning, Azure Machine Learning; Nathan Yan, Azure Machine Learning; Jeffrey Zhu, Bing; Jason Li, Bing One of the most popular deep learning models used for natural language processing is BERT (Bidirectional Encoder Representations from Transformers).
We are delighted to announce the Applied Cloud Stories initiative by Microsoft! What is Applied Cloud Stories? Do you work with open source? Are you passionate about machine learning or data science? Do you have stories to share about solving scale or data challenges? Are you investing time and effort so that you and your.
HL7 FHIR (Fast Healthcare Interoperability Resources) is an open standard for healthcare interoperability. Microsoft contributes enthusiastically to FHIR and the health standards community, from developing open source servers, tools, and libraries to hosting managed services in Azure, as well as technical evangelism and development of core specifications.
Trust is key to open source. Developers should be able to trust users to respect their licensing choices. And when you receive software, you should be able to trust that the open source licenses were followed.
Today we announced that the W3C Trace Context specification entered Proposed Recommendation maturity level. A unified approach for propagating distributed trace identifiers and context improves observability into the behavior of distributed applications, facilitating problem and performance analysis. The interoperability provided by Trace Context is a prerequisite to manage modern applications with a microservice architecture.
When Microsoft launched Azure Event Grid in August of 2017, our goal was to make it easier to quickly architect and compose event-driven systems. Pretty much at the same time, Serverless Inc.
Earlier this year, we released Data Accelerator for Apache Spark as open source to simplify working with streaming big data for business insight discovery. Data Accelerator is tailored to help you get started quickly, whether you’re new to big data, writing complex processing in SQL, or working with custom Scala or Azure functions.
Hello KubeCon and welcome to San Diego! It’s fantastic to have the chance to get some warm California sun, as well as the warmth of the broader Kubernetes community.
Event-driven applications are a key pattern for cloud-native applications. Event-driven is at the core of many growing trends, including serverless compute like Azure Functions. Event-driven means your application responds and reacts to different events – business or system events.
Next week is KubeCon North America 2019, but we wanted to give you an early preview of one of the things we’ll be showing. Over the last few years, we’ve been working on tools for the cloud native ecosystem. From Helm and Brigade to Porter and Rudr, each tool we have built is designed to stand on its own.
Today the Open Neural Network eXchange (ONNX) is joining the LF AI Foundation, an umbrella foundation of the Linux Foundation supporting open source innovation in artificial intelligence, machine learning, and deep learning. ONNX was co-founded by Microsoft in 2017 to make it easier to create and deploy machine learning applications.