Automation Concepts

What is Space Automation?

The main purpose of Automation is CI/CD: Using the script file stored in the project repository, you can build, test, and deploy the project.

Configuration as code

Scripts are the only way to configure Automation. The Automation UI you see in Space is used only to visualize script results: logs, tests, artifacts, etc. Scripts are written with a special DSL (domain-specific language).

Kotlin-based DSL

The DSL is based on Kotlin programming language, so you can use Kotlin data types and language structures right inside your automation script.

For example, a simple script that runs gradlew build in the ubuntu:latest Docker container:

            job("Run gradlew build") {
                container(image = "ubuntu:latest") {
                    shellScript {
                        content = "./gradlew build"
                    }
                }
            }
        

Automation script

The automation script must be stored in the .space.kts file in the root directory of a project. To edit .space.kts, you can use either Space code web-editor or IntelliJ IDEA. The latter is recommended as IDEA provides automatic code completion and code inspections for DSL scripts.

Note that there can be only one .space.kts file in a project repository.

Local reproducibility

The important thing about automation scripts is that you can run them locally on your machine. This lets you test the script before "pushing" it to the Space server.

Main concepts

step	Step is the smallest possible building block in Automation. It describes: what must be run: a command, a shell script, or Kotlin code. and where it must be run: in a container, in a self-hosted worker, in a cloud worker, or in a function (not yet supported). You can use steps in jobs, pipeline stages, and deployment scripts. Learn more \| See DSL
job	Job is a defined task consisting of steps. The simplest automation script consists of one `job` which, in turn, consists of one step. Unlike pipeline stages, it is not possible to create a chain of dependent jobs. All jobs within one script always run in parallel. Learn more \| See DSL
pipeline	Not yet available Pipeline is a linear sequence of stages.
pipeline stage	Not yet available Stage is a building block for pipelines. As well as `job`, `stage` may contain any number of steps. But in contrast to jobs, stages: run sequentially one after another can be dependent on each other (see `gate`) cannot be triggered by external events
pipeline gate	Not yet available Gate specifies a condition that must be met in order to run the next stage.
deployment	A process of delivering source code changes to a deployment environment (deployment target). Learn more
deployment target	It is a destination target for a deployment. For example, it could be a staging, pre-production, or a production server.
deployment target health	Not yet available Each deployment target has a health status that you can check in your script. If the check fails, you can run a separate rollback script.

Last modified: 02 June 2022