![]() Dependencies and libraries can be installed ad-hoc in your job, and we offer dependency caching to speed up subsequent builds. See our integrations page for existing partnerships. Our config allows integration with any platform or cloud provider that has an API. FlexibilityĬircleCI is vendor and tool-agnostic. You can run one - or hundreds - of jobs concurrently without any hassle or overhead. Auto-Scaling ArchitectureĪll execution environments are dynamically created according to your config and terminated on completion of tasks. It is easy to maintain and trivial to learn, and your CI/CD pipeline can be tracked and versioned like the rest of your source code. The majority of CircleCI’s configuration is done via YAML. Throughout this process, consult the Configuration Reference for a list of all available configuration on the CircleCI platform. Next, optimize your jobs with advanced features to see how much faster your builds could run on the CircleCI platform. This would essentially migrate your Build Chain. Consult our Examples and Guides Overview for various examples in different languages and frameworks.Īfter finishing one job, setup your other jobs on CircleCI and then configure a workflow. For example, a Rails project may use a Ruby container image and run bundler commands. Once you understand the config, modify the executor and the individual steps to meet your needs. This configuration demonstrates the simplicity of our YAML setup, and it showcases how to define both an execution environment and the steps to run within it. Quickly build and run a simple Hello World job in any repository. It makes sense to disable any manual configuration for the project and only rely on explicit, thought-out configuration code changes.Read (or at least browse) this document to solidify conceptual differences. The demonstrated approach allows us to not only keep our TeamCity configuration in a versioned and audited state, but it also dramatically reduces the line count of configuration scripts as we are iterating our products and defining multiple build configurations per product without repeating the specifics, while also making sure that all builds adhere to exactly the same build conditions and stages. SSH keys and API tokens should be specified separately, which is not shown in this guide. Param("github_oauth_user", "our-team-city") Token = DslContext.getParameter("GitHub-PR-notification-API-token") Name = "Template for pull request builds"ĭescription = "Triggered by branch changes, posts results to GitHub" If you need any specific dependency settings file used during dependency resolving, such as specifying credentials for internal Maven repositories, upload them to the TeamCity ’s Maven Settings tab under the name mavenSettingsDsl.xml. Configuration as Codeįirst, we introduce our own product management code into configuration scripts by adding the dependency to. Once you configure versioned settings for a TeamCity project, it will push a skeleton Maven configuration project to a repository of choice, which we will be working with. Following it will require a base knowledge of git, Maven, and TeamCity but would not require knowledge of the Kotlin language, since all of the displayed code is self-explanatory. This guide will show how to configure the same set of CI/CD builds for multiple Maven project repositories of similar layouts programmatically, following the DRY (don’t repeat yourself) principle. In this article, I will describe how the team at Chronicle Software has tackled these issues in different projects by writing code that does this for us, in the form of Kotlin DSL for TeamCity. Maintaining such a setup manually in the face of change while ensuring its consistency will take a lot of effort. ![]() Understandably, this requires setting up continuous integration and deployment for a large number of similar projects. In a previous article, I described a way to organize low-latency products as multiple code bases which are bound together with a Maven Bill of Materials (BOM). ![]()
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