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4. Deploy your project

The project and environment are now in a state where the project can be build and deployed to the environment.

Since we are using Duckdb in this example, which is an in-memory database we do not need to set up one.

4.1 Build the project​

The first step is to validate and package your project code in a docker image and upload it. Open a terminal in the IDE and run the following command from the project folder.

conveyor build

Once this is done you can deploy this project to any environment.

info

The first time build of a project can take some time depending on your internet connection. Subsequent builds should be significantly faster.

4.2 Deploy the project​

Next, deploy the project to the environment:

conveyor deploy --env $ENVIRONMENT_NAME --wait

The --wait flag makes the command wait until the deployment is finished. This is certainly useful in a CI/CD context but also if you want to easily know when a deployment is finished.

4.3 Activate the workflow​

In the Conveyor UI navigate to your environment, by clicking environment on the left and clicking on your environment in the list. This will automatically open Airflow.

By default, your workflow will be disabled. Enable it by selecting the toggle on the left next to your DAG. Airflow will now start scheduling your project, one run for each day since the start date you specified when creating the project. For more details on Airflow as well as how Conveyor integrates with Airflow, take a look here

4.4 Explore logs and metrics​

Next we can see our runs in the Task executions tab of our environment. Select the task execution and you will be able to see all the settings of your task. And underneath you see the logs of your task.

For longer running task CPU and Memory metrics are also available.

4.5 Run a task from the CLI​

To shorten the feedback loop during development you can run a task directly from the CLI using the conveyor run command. This command builds the project and deploys it on the Kubernetes cluster, bypassing Airflow. The logs are immediately made available in your console.

conveyor run --env $ENVIRONMENT_NAME --dag $PROJECT_NAME

Great! We just build and deployed our project to an environment for the first time. This is the main way used by developers to deploy their project to development or production. And using conveyor run we are able to quickly test out changes without having to deploy our project.