The code for a new open source differential privacy platform is now live on GitHub. The project is jointly developed by Microsoft and Harvard’s Institute for Quantitative Social Science (IQSS) and the School of Engineering and Applied Sciences (SEAS) as part of the OpenDP initiative.
A Kubernetes cluster requires compute resources to run applications and these resources may need to increase or decrease depending on the application requirements. This typically falls under the category of “scaling” and can be broadly divided into cluster and application scaling.
The Open Compute Project (OCP) Global Summit, kicking off virtually on May 12, is where a vibrant and growing community will come together to help grow, drive, and support the open hardware ecosystem.
Yesterday, Helm became a graduated project in the Cloud Native Computing Foundation (CNCF), joining a select group of projects that the CNCF recognizes for achieving majority adoption by the cloud-native 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.
Linux container technology has changed the face of computing, but especially distributed computing in publicly rentable servers commonly said to be “the public cloud” (like Microsoft Azure). With containers came tooling – like Docker – and systems that orchestrate potentially millions of them – with Kubernetes becoming the most widely used.
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.
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).
