![]() ![]() In the Organization Settings menu, select the Contexts option To configure this way, follow the steps below: In this case, the variable will be visible to all projects associated with the specified context. Name the variable FLOW_API_KEY and add the API key available in your Conviso Platform profile. In the left menu, click on Environment Variables and then on the Add Environment Variable button In the upper right corner, click on Project Settings To configure this way, follow the steps below:įrom the Project Dashboard menu, select the desired project In this case, the variable will be restricted to the execution of pipelines of the selected project. They can be defined by project or else by context. For this to happen safely, it is recommended to use the Variables of Pipeline. Variables Setup Īuthentication between the CLI tool and the platform takes place through an API key. This file can be saved by Circle CI itself in an alternate branch by clicking on Add Config or manually committed. In this first pipeline, only one job is configured, called flow-help, and we determine that it will be executed as the only job of the main workflow. For this first pipeline, we can paste the contents of the code snippet below: The platform will bring suggestions based on the technologies present in your project's code. If there is no pipeline yet, clicking on the Setup project button for your repository will open an editor for the creation of pipelines. It is important that Conviso jobs are set up correctly along with the rest of the workflow. circleci folder at the root of the repository, in the config.yml file. If there is already a description of a pipeline in the repository, it will be available in the. However, for the enterprise version, in order for the experience with Conviso's services to be complete, it is necessary to be aware of the requirements below:Įxternal access (can be limited to Conviso, Dockerhub and Conviso registry)Īfter configuring your VCS access policies in CircleCI, on the Project Dashboard page you will be able to see all the repositories available for creating Pipelines. Requirements įor the Cloud version, support is native. Currently, the integration with Conviso's products takes advantage of CircleCI's native docker support, and runs through a docker image made available on Dockerhub with a CLI-like tool available on PyPi. One of its main features is its extensibility, through the so-called Orbs it is possible to add custom jobs, commands and executors. Introduction ĬircleCI is a CI/CD platform that has the purpose of bringing agility to the pipeline creation process. ![]() You can also visit our support site to find support articles, community forums, and training resources.First time using CircleCI? Please refer to the following documentation. Contact our support engineers by opening a ticket. ![]() Our support engineers are available to help with service issues, billing, or account related questions, and can help troubleshoot build configurations. If you would like to share feedback, please join our research community. CircleCI is always seeking ways to improve your experience with our platform.To report a problem in the documentation, or to submit feedback and comments, please open an issue on GitHub.Suggest an edit to this page (please read the contributing guide first).This guide, as well as the rest of our docs, are open source and available on GitHub. Read more about passing data between jobs in the Using Workspaces to Share Data between Jobs page.Read more about orchestrating jobs in the Using Workflows to Schedule Jobs page. ![]()
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