Authentication of CircleCI projects using the hosted application is handled by GitHub, Bitbucket, or Google OAuth. Sessions last for 14 days. See the Permissions Overview section of the GitHub and Bitbucket Integration document for additional details.
User authentication may use LDAP for an instance of the CircleCI application that is installed on your private server or cloud, see the Authentication document for setup instructions.
The first user to log into a private installation of CircleCI. Administrators have the ability to add and remove users.
A container is a running instance of an image.
Contexts provide a mechanism for securing and sharing environment variables across projects. The environment variables are defined as name/value pairs and are injected at runtime. Environment variables are set on the Contexts page. To use these variables in a workflow, users must be members of the context’s organization. The rule must allow access to all projects in the org. See the Contexts document for instructions.
Docker Layer Caching
The CircleCI Docker Layer Caching feature allows builds to reuse Docker image layers from previous builds. Image layers are stored in separate volumes in the cloud and are not shared between projects. Layers may only be used by builds from the same project. For additional information about how the secure environment is created, see the Docker Layer Caching and Running Docker Commands documents.
Environment variables store customer data that is used by a project. Only project administrators and owners are allowed to view or modify environment variables. The values are transmitted using secure protocols, for example, HTTPS and SSH, encrypted at rest, and hashed/salted to prevent CircleCI employees from viewing them.
Defines the underlying technology to run a job. Can be either
docker to run your job inside a Docker container with a specified image or
machine to run your job inside a full virtual machine. Learn more.
An image is a packaged system that has the instructions for creating a running container.
A job is a collection of steps.
All the containers being run by an executor for the current job.
CircleCI orbs are shareable packages of configuration elements, including jobs, commands, and executors. CircleCI provides certified orbs, along with 3rd-party orbs authored by CircleCI partners.
The owner of the team GitHub account or Bitbucket org.
A pipeline is an object that you may configure and run on the CircleCI platform. A pipeline can be triggered through webhooks when code is pushed to your git repository, or when you use the CircleCI API. The pipeline’s configuration includes workflows and jobs that may be run with other elements like parameters and orbs.
Note that each pipeline is run against a particular project by a specific actor.
The first image listed in
config.yml. This is where commands are executed for jobs using the Docker executor.
A CircleCI project shares the name of the code repository for which it automates workflows, tests, and deployment. It is visible on the Projects page of the CircleCI app and must be added with the Add Project button. After the project is added, it is possible to configure settings, contexts, environment variables, and team members who may follow the project. Following a project enables a user to subscribe to email notifications for the project build status and adds the project to their CircleCI dashboard.
The user who adds a GitHub or Bitbucket repository to CircleCI as a Project.
A step is a collection of executable commands. Learn more.
An individual user within an org. A CircleCI user is anyone who can log in to the CircleCI platform with a username and password. Users must be added to a GitHub or Bitbucket org to view or follow associated CircleCI projects. Users may not view project data that is stored in environment variables.
A Workflow is a set of rules for defining a collection of jobs and their run order. Workflows are implemented as a directed acyclic graph (DAG) of jobs for greatest flexibility. Learn more. Within the CI/CD industry, this feature is also referred to as Pipelines.
A workspace is a workflows-aware storage mechanism. A workspace stores data unique to the job, which may be needed in downstream jobs.