At KubeCon + CloudNativeCon Europe 2026 in Amsterdam, we’re making announcements that reflect the goal of bringing the operational maturity of Kubernetes to today’s workloads and demands.
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.
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.
In May 2019, Network Policies on Azure Kubernetes Service (AKS) became generally available through the Azure native policy plug-in or through the community project Calico. This user-defined network policy feature enables secure network segmentation within Kubernetes and allows cluster operators to control which pods can communicate with each other and resources outside the cluster.
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.
It is remarkable to see the transformation over the last few years as more and more developers build scalable, cloud native applications, taking advantage of managed services to deploy and run them.
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.
In May, we announced the release of the Azure Blockchain Development Kit for Ethereum. We worked together with open source leaders, like Truffle, to bring the best of Azure and open source technologies together to deliver a world class development experience for Ethereum smart contract development and deployment.
Spring and Java are first-class citizens on Microsoft Azure and our engineering teams have been working really hard for the past few years to make the developer experience for building and running Spring applications on Azure delightful and productive.
Probably the largest hurdle when learning any new programming language is simply knowing where to get started. What’s important? What do I need to know to be proficient? It’s hard to follow docs when you’re not even sure what you’re reading. You might be taking a look at Python.
Last year at Microsoft Connect and DockerCon we announced the Cloud Native Application Bundle (CNAB) specification in partnership with Docker, HashiCorp, and Bitnami. Since then the CNAB community has grown to include Pivotal, Intel, Datadog, and others, and we are all extremely pleased to announce that the CNAB core 1.
