Hiya,

I'm trying to follow the testing workflow of

```

$ dbx deploy test --assets-only

$ dbx launch test --from-assets --trace --include-output stdout

```

But I find the turnaround time is quite long, even with an instance pool.

The `deployment.yaml` looks like

```

environments:

 default:

  workflows:

   - name: "test"

    tasks:

     - task_key: "main"

      new_cluster:

       spark_version: "11.3.x-scala2.12"

       num_workers: 1

       instance_pool_id: "instance-pool://****"

       init_scripts:

        - dbfs:

          destination: dbfs://****/init.sh

      python_wheel_task:

       package_name: "foo"

       entry_point: "bar"

       parameters: [

        "--conf-file", "file:fuse://conf/tasks/bar.yaml",

       ]

```

The `init.sh` simply does a `pip install`.

Some excerpts from the logs, to show how long things take

```

[dbx][2023-02-09 10:41:57.487] Launching workflow

[dbx][2023-02-09 10:42:01.389] Run URL: https://dbc-.

[dbx][2023-02-09 10:47:37.229] Finished tracing run with id ....

```

So it takes about 5 minutes setting up a new environment!

Anyone has ideas of how to speed up things?