4 open source lessons for 2021
2020 fundamentally changed how many companies and teams work—seemingly overnight, remote-first cultures became the new norm and people had to change how they communicate and collaborate.
2020 fundamentally changed how many companies and teams work—seemingly overnight, remote-first cultures became the new norm and people had to change how they communicate and collaborate.
About two years ago, we heard an increasing demand from the .NET community for an easier way to build big data applications with .NET, outside of needing to learn Scala or Python. Thus, in a collaboration between Azure Data and .NET teams, we started the .NET for Apache® Spark™ open source project.
Overview One of the hallmarks of “the edge” in computing is the array of sensors, controllers, and microcontroller unit (MCU) class devices that produce data and perform actions. For Kubernetes to be a versatile edge computing solution, a cluster needs to easily find these leaf devices.
The Java on Microsoft Azure team has been strengthening its commitment and outreach to Java EE users. This effort includes additional technical guidance, tools, scripts, workshops, and more to better support migrations to Virtual Machines, Kubernetes, OpenShift, and managed service (PaaS) offerings.
Since Windows worker node support reached general availability in Kubernetes, Microsoft and Tigera have listened closely to feedback from the community. A big contention point of Windows container users in the Kubernetes community is: “One of the most important open source network policy tools in the market is not available for Windows.
Dapr integration in the Azure API Management (APIM) service is now available. This new capability enables operations teams to directly expose Dapr microservices as APIs and make those APIs discoverable and easily consumable by developers with proper controls across multiple Dapr deployments—whether in the cloud, on-premises, or on the edge.
Following the release of our Developer Preview in June, today we’re announcing an exciting next step as we make the source code of TensorFlow-DirectML, an extension of TensorFlow on Windows, available to the public as an open-source project on GitHub.
We’re excited to announce a new extension for Azure Functions that lets a function seamlessly interact with Dapr for building cloud-native applications. Azure Functions provides an event-driven programming model and Dapr provides a set of essential cloud-native building blocks.
For Microsoft’s internal teams and external customers, we store datasets that span from a few GBs to 100s of PBs in our data lake. The scope of analytics on these datasets ranges from traditional batch-style queries (e.g., OLAP) to explorative ”finding the needle in a haystack” type of queries (e.g., point-lookups, summarization).
Today, we’re announcing Azure Service Operator―an open source project we’ve been working on in collaboration with a handful of customers to expose several Microsoft Azure services as Kubernetes operators. As we’ve seen Kubernetes adoption grow exponentially, we’ve also seen an increasing desire from customers to manage their resources exclusively through the Kubernetes control plane.
On behalf of HashiCorp and Microsoft, I am excited to announce the release of Azure DevOps Provider 0.0.1 for Terraform. With this provider, you will be able to manage Azure DevOps resources like projects, CI/CD pipelines, and build policies through Terraform.
The Distributed Application Runtime (Dapr) project is growing rapidly are we’re grateful for all the community support and customer feedback. While working with customers building business applications, we find that one of the most frequent needs is the ability to schedule, automate, and orchestrate business processes. This is often called a business workflow.
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.