What’s new with Microsoft in open source and Kubernetes at Open Source Summit and KubeCon India
When building with AI on Azure Kubernetes Service, getting a model running is just the beginning.
Microsoft Open Source Blog
FHIR Subscriptions and state changes
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.
Microsoft announces OpenChain 2.0 conformance for open source
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.
W3C Trace Context specification reaches Proposed Recommendation status
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.
Boosting interoperability in the cloud with CloudEvents v1.0 support on Azure Event Grid
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.
Data Accelerator for Apache Spark adds Azure Databricks support and more
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.
Empowering cloud-native developers on Kubernetes anywhere
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.
Kubernetes-based event-driven autoscaling (KEDA) 1.0 release
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.
In-cluster CNAB management with Brigade
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.
ONNX joins Linux Foundation
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.
Helm 3: Simpler and more secure
Ecosystem complexity increases every time we look around, our dizzying panoply of choices multiplies by the day, and (now, as always) we need a way to find, share, and operate applications reliably, in production, and at scale. What’s a busy Kubernetes user to do? Helm is the well-known and much-used package manager for Kubernetes.
Ansible 2.9: Azure shared image galleries, Azure collection, and new modules
With the release of Ansible 2.9, Microsoft furthers its commitment to ensure that Azure provides excellent experiences for Ansible users when automating the provisioning and configuration of Azure resources.
Announcing ONNX Runtime 1.0
One year after ONNX Runtime’s initial preview release, we’re excited to announce v1.0 of the high-performance machine learning model inferencing engine.