challenge.md

1. Start Kestra 2.0:

docker run --pull=always --rm -it -p 8080:8080 --user=root --name kestra \
-v kestra_data_volume:/app/storage \
-v kestra_db_volume:/app/data \
-v /var/run/docker.sock:/var/run/docker.sock \
-v /tmp:/tmp \
-e KESTRA_PLUGINS_AUTO_INSTALL_ENABLED=true \
-e KESTRA_SERVER_BASIC_AUTH_USERNAME=admin@kestra.io \
-e KESTRA_SERVER_BASIC_AUTH_PASSWORD=Admin1234 \
kestra/kestra:latest-slim server local

Open http://localhost:8080 and explore the UI.

2. Add the flow below and run it. We use DuckDB here and everything runs locally so that you don't need any remote data warehouse credentials to set up.

Give the first run a few minutes while the images are downloaded.

id: dbt_build_duckdb
namespace: company.team

tasks:
  - id: dbt
    type: io.kestra.plugin.core.flow.WorkingDirectory
    tasks:
      - id: clone_repository
        type: io.kestra.plugin.git.Clone
        url: https://github.com/kestra-io/dbt-example
        branch: main

      - id: dbt_build
        type: io.kestra.plugin.dbt.cli.DbtCLI
        taskRunner:
          type: io.kestra.plugin.scripts.runner.docker.Docker
        containerImage: ghcr.io/kestra-io/dbt-duckdb:latest
        commands:
          - dbt deps
          - dbt build
        profiles: |
          my_dbt_project:
            outputs:
              dev:
                type: duckdb
                path: ":memory:"
                fixed_retries: 1
                threads: 16
                timeout_seconds: 300
            target: dev

3. Have a look around the UI while the execution is in progress and after it finishes.
4. Send me a few bullet points on:

• your first impression of Kestra and the dbt plugin
• what you would improve.