Displaying 1 to 9 from 9 results

cibuildwheel - 🎡 Build Python wheels for all the platforms on CI with minimal configuration.

  •    Python

Python wheels are great. Building them across Mac, Linux, Windows, on multiple versions of Python, is not. cibuildwheel is here to help. cibuildwheel runs on your CI server - currently it supports GitHub Actions, Azure Pipelines, Travis CI, AppVeyor, CircleCI, and GitLab CI - and it builds and tests your wheels across all of your platforms.

containers-rest-cosmos-appservice-java - A RESTful DAL (Database Abstraction Layer) reference implementation written using Spring

  •    Java

This project was created to demonstrate end-to-end best practices building and running "enterprise-class" applications on Azure. This document explains what the project provides and why, and it provides instructions for getting started. Our team, Commercial Software Engineering (CSE), collaboratively codes with Microsoft's biggest and most important customers. We see a huge spectrum of technology choices at different customers, ranging from all-Microsoft to all-OSS. More commonly, we see a mix.

entref-spring-boot - A RESTful DAL (Database Abstraction Layer) reference implementation written using Spring

  •    Java

This project was created to demonstrate end-to-end best practices building and running "enterprise-class" applications on Azure. This document explains what the project provides and why, and it provides instructions for getting started. Our team, Commercial Software Engineering (CSE), collaboratively codes with Microsoft's biggest and most important customers. We see a huge spectrum of technology choices at different customers, ranging from all-Microsoft to all-OSS. More commonly, we see a mix.

gl-vsts-tasks-azure - Azure Pipelines Tasks that help you build and publish your applications on Microsoft Azure

  •    PowerShell

Visual Studio Team Services Build and Release Management extensions that help you to build and publish your applications on Microsoft Azure. This extension was created by Geek Learning, with help from the community.




automated-test-environment-for-aks-applications - Framework to create Automated Test Environment using kind (Kubernetes in Docker) for testing Azure Kubernetes Service (AKS) based applications in CI (Continuous Integration) Pipeline (Azure DevOps)

  •    Shell

Framework to create Automated Test Environment using KIND for testing Azure Kubernetes Service (AKS) based applications in CI (Continuous Integration) Pipeline (Azure DevOps), where required dependencies/infrastructure will be provisioned for executing automated tests and de-provisioned after completion. Testing the applications to be deployed over Kubernetes means either the Cluster is already available or is to be deployed on the go before you test, in former case its a cost to keep the Cluster live and in later it takes a lot of time to bring up the kubernetes cluster.

vue-cli-plugin-ci - A starter for your config file on CI

  •    Javascript

A Vue CLI plugin to initialize Continuous Integration on many platforms for your project using YARN or NPM. Please contribute by resolving issue. Create a branch, add commits, and open a pull request.

azure-pipeline-templates - templates for azure pipelines

  •    Python

It is suggested to use a generic name, such as github so forks can also configure the same. You can find this in Project Settings => Service connections in the Azure Devops dashboard for your project. Project settings is located in the bottom left corner of the UI as of 2019-03-07.


wheelwright - 🎡 Automated build repo for Python wheels and source packages

  •    Python

This repo builds release wheels and source packages for Python libraries available as GitHub repositories. We're currently using it to build wheels for spaCy and our other libraries. The build repository integrates with Azure Pipelines and builds the artifacts for macOS, Linux and Windows on Python 3.5+. All wheels are available in the releases. 🙏 Special thanks to Nathaniel J. Smith for helping us out with this, to Matthew Brett for multibuild, and of course to the PyPA team for their hard work on Python packaging.






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