test_main.py Add tests and GH Action Feb 14, 2025 test_services.py Add tests and GH Action Feb 14, 2025 Repository files navigation README This repository is designed to follow the tutorial here: https://comp423-25s.github.io/resources/backend-architecture/3-ci-cd/About...
CICD tutorial . Contribute to cloudacode/devops-cicd development by creating an account on GitHub.
在“新建分支规则集”页面的“规则集名称”中,输入“CI-CD-tutorial-ruleset”: 在“目标分支”下选择“添加目标”,然后选择“包括默认分支”或“包括所有分支”: 在“分支规则”下,选择“合并前需要拉取请求”: (可选)可以启用更多保护规则。 选择创建。
Devops CI CD tutorials to help you achieve continuous integration, delivery and deployment (CI/CD) for a streamlined, automated software release process.
This tutorial is part four in a series. It shows you how to set up continuous integration and continuous deployment (CI/CD) for an Azure Service Fabric application by using Azure Pipelines. To complete the tutorial, you must have an existing Service Fabric application. This tutorial uses t...
Power Platform with CICD via Git Action Tutorial: Automate solution deployment using GitHub Actions for Microsoft Power Platform (Preview) [This topic is pre-release documentation and is subject to change.] In this tutorial, you will learn how to:...
Learn how to set up a Podman container to run on OpenShift and integrate it with a GitLab runner with this tutorial. Article DevOps with OpenShift Pipelines and OpenShift GitOps Gerald Nunn September 17, 2024 Discover how Red Hat OpenShift Pipelines and OpenShift GitOps provide key components...
Clone GitHub repo from this example or import to VSTS Create a build definition (Build & Release tab > Builds) Search and use “Gradle” definition. In the repository tab of build definition make sure the repository selected is the one where you pushed (Git). ...
在本文中,您會了解如何在 Azure Pipelines 建立 CI/CD 管線,將現有的負載測試自動化。 在 Azure 負載測試選取測試,然後在 Azure DevOps 直接設定管線,使用每個原始程式碼認可觸發負載測試。 使用 CI/CD 將負載測試自動化,持續驗證應用程式在負載下的效能和穩定性。 如果您想使用 GitHub Actions 將負載測試自動化,...
Concourse是由Pivotal赞助的开源CICD工具,以pipeline机制运行任务并保留执行的状态。 一般情况下,用来配合PCF(Pivotal Cloud Foundry)使用。 pipeline:通过作业实现的资源流变化的结果可视化展现 能够对pipeline配置进行版本控制,方便移植和恢复。 构建在容器中运行,隔离各个环境,避免不同环境之间相互污染情况发生。