How Distributed Application Runtime (Dapr) has grown since its announcement
Since the October 2019 announcement of the Distributed Application Runtime (Dapr), we have seen a tremendous response and the emergence of an engaged Dapr community.
Since the October 2019 announcement of the Distributed Application Runtime (Dapr), we have seen a tremendous response and the emergence of an engaged Dapr community.
Thinking about joining the Kubernetes Release Team? Curious what it even is? As someone who started as a shadow on the Communications team for the 1.16 and 1.17 Release Team and eventually became the Communications Lead for the 1.18 release, I want to share what I’ve learned from this journey and answer any questions you may have about the Release Team.
Last year Microsoft and Red Hat announced Kubernetes Event-driven Autoscaling (KEDA) – a way to bring event scale for any container or workload deployed into any Kubernetes cluster. Since then, we have been blown away by the response from the community in helping to make KEDA even better.
As more users take advantage of Kubernetes for their Windows applications, the Windows community in Kubernetes has been working on improvements that enable even more use cases. With the release of Kubernetes v1.18, many of these changes are taking shape.
The questions started around KubeCon San Diego. Maybe because we had just released Helm 3. Or, maybe because a few operator tools had been put up for adoption by CNCF. Whatever the cause, I started receiving questions about Helm and operators.
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.
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).
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.
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.
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.
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.
Kubernetes has become the leading container orchestration environment. Its success has driven the remarkable growth of Kubernetes services on every public cloud. However, the core resources in Kubernetes like Services and Deployments represent disparate pieces of an overall application. They do not represent the application itself.
SandDance, the beloved data visualization tool from Microsoft Research, has been re-released as an open source project on GitHub. This new version of SandDance has been re-written from the ground up as an embeddable component that works with modern JavaScript toolchains.