![]() You can get the CMake binaries from the Microsoft fork of the CMake repo on GitHub. We recommend you use this build to ensure that you have the latest features. Microsoft produces a universal build of CMake that you can install on any Linux distro. Visual Studio requires a recent version of CMake on the Linux machine that has server mode enabled (at least 3.8). On Debian-based systems, you can use this command to install these dependencies: sudo apt install -y openssh-server build-essential gdb rsync make zip Visual Studio requires these tools on the Linux machine: C++ compilers, gdb, ssh, rsync, make, and zip. WSL isn't recommended here, because it's intended primarily for command-line operations. However, for this tutorial, a graphical environment is required. You could also use the Windows Subsystem for Linux (WSL). The OS can be running on a physical machine, in a VM, or in the cloud. Visual Studio doesn't require any specific distribution of Linux. Set up a Linux machine for Cross Platform C++ Development Depending on your download speed, installation shouldn't take more than 10 minutes. First, install Visual Studio and choose the Desktop development with C++ and Linux development with C++ workloads.Set up Visual Studio for Cross Platform C++ Development build and debug the same target on Linux.build and debug an executable target on Windows.clone an open-source CMake project from GitHub.Video: Demo - Deploying from GitLab to OpenShift Container Cluster.How to create a CI/CD pipeline with Auto Deploy to Kubernetes using GitLab and Helm.How to autoscale continuous deployment with GitLab Runner on DigitalOcean. ![]() Video: Automating Kubernetes Deployments with GitLab CI/CD.How to set up multi-account AWS SAM deployments with GitLab CI.CI/CD in the cloudįor examples of setting up GitLab CI/CD for cloud-based environments, see: Older articles and videos may not reflect the state of the latest GitLab release. This section provides further resources to help you get familiar with various uses of GitLab CI/CD. That contains examples and templates specific to your organization. Your GitLab administrator can designate an instance template repository You can add custom examples and templates to your self-managed GitLab instance. Adding templates to your GitLab installation To create a template, submit a merge request If a programming language or framework template is not in this list, you can contribute Get started with GitLab CI/CD and your favorite programming language or framework by using a Scala on Heroku Test and deploy a Scala application to Heroku. Ruby on Heroku Test and deploy a Ruby application with GitLab CI/CD. Python on Heroku Test and deploy a Python application with GitLab CI/CD. ![]() Parallel testing Ruby & JS GitLab CI/CD parallel jobs testing for Ruby & JavaScript projects. Java with Spring Boot Deploy a Spring Boot application to Cloud Foundry with GitLab CI/CD. Java with Maven How to deploy Maven projects to Artifactory with GitLab CI/CD. Game development DevOps and Game Development with GitLab CI/CD. Separate example projects: Use case Resource Clojure Test a Clojure application with GitLab CI/CD. These contributed guides are hosted externally or in You can help people that use your favorite programming language by submitting a link Secrets management with Vault Authenticating and Reading Secrets With HashiCorp Vault. PHP with PHPUnit, atoum Testing PHP projects. PHP with npm, SCP Running Composer and npm scripts with deployment via SCP in GitLab CI/CD. PHP with Laravel, Envoy Test and deploy Laravel applications with GitLab CI/CD and Envoy. npm with semantic-release Publish npm packages to the GitLab Package Registry using semantic-release. Multi project pipeline Build, test deploy using multi project pipeline. End-to-end testing End-to-end testing with GitLab CI/CD and WebdriverIO. GitLab Pages See the GitLab Pages documentation for a complete example of deploying a static site. The following table lists examples with step-by-step tutorials that are contained in this section: Use case Resource Deployment with Dpl Using dpl as deployment tool.
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