@Marvin can I configure prefect to work with my local docker service and not push images to docker.io?

So, you want to use Prefect with your local Docker service instead of pushing images to Docker Hub. That seems reasonable! Which version of Prefect are you using? (Prefect 2.x or 3.x?)

@Marvin prefect 3.0

To configure Prefect 3.x to use your local Docker service without pushing images to Docker Hub, you can follow these guidelines: 1. Build Local Docker Images: Configure your

prefect.yaml

to build Docker images locally and avoid setting the

push

field to true. An example:

yaml
build:
  - prefect_docker.deployments.steps.build_docker_image:
      requires: prefect-docker>=0.3.0
      image_name: local/repo/my-image
      tag: my-tag
      dockerfile: auto
      push: false

2. Run Locally: Ensure Docker is set up to use local images. Prefect just needs to refer to the image by name. 3. Bypass Docker Hub: Reference the image directly in your deployment YAML. Avoid fields requiring a repo push:

yaml
deployments:
  - name: my-deployment
    entrypoint: path/to/your/flow.py:flow_function
    infrastructure:
      - prefect.infrastructure.docker:
          image: local/repo/my-image:my-tag

For more details and step-by-step instructions, check the Prefect documentation. If you face errors or unusual issues, you might find relevant information or report issues on Prefect's GitHub Issues page. Feel free to reach out if you need more guidance!

@Marvin how to set k8s worker pool to use local docker service

Sure! Here's how to configure a Kubernetes (k8s) worker pool to use your local Docker service for Prefect 3.x: 1. Create a Kubernetes Work Pool: - From the Prefect Cloud UI: - Navigate to the Work Pools tab on the left sidebar. - Click the + button at the top of the page. - Select Kubernetes as the work pool type. - Click Next to configure the work pool settings. - Alternatively, you can use the Prefect CLI:

bash
     prefect work-pool create --type kubernetes my-k8s-pool

2. Configure Your Work Pool Options: - Set environment variables and other configurations as needed. This can include any required access credentials or configurations specific to your Kubernetes setup. 3. Configure Docker to Use the Local Image: Ensure your Kubernetes nodes can access the local Docker images: - Push Image to Local Registry: Set up a local Docker registry and push your image there.

bash
     docker tag local-image:tagname my-registry.local:5000/local-image:tagname
     docker push my-registry.local:5000/local-image:tagname

- Configure your Kubernetes to pull from this local registry. Edit your Kubernetes deployment YAML to use the local image:

yaml
     spec:
       containers:
       - name: my-container
         image: my-registry.local:5000/local-image:tagname

4. Start a Worker: Start the Kubernetes worker to monitor the pool:

bash
   prefect worker start --pool my-k8s-pool

For additional details and step-by-step setup, refer to the Prefect documentation for Kubernetes: Kubernetes Infrastructure. Feel free to ask more questions if you need further assistance!

@Marvin can you describe prefect.yaml for remote storage of the flow code on Prefect 3.0?

To configure remote storage for your flow code in Prefect 3.0 using

prefect.yaml

, you can specify storage options directly in the configuration file. Below is an example for using Git-based storage, but other options like cloud storage can follow a similar structure. ### Example

prefect.yaml

for Git-Based Storage

yaml
name: my-flow
prefect-version: 3.0.0

storage:
  type: git
  repository: <https://github.com/my_username/my_repo.git>
  branch: main

deployments:
  - name: my-deployment
    entrypoint: path/to/your/flow.py:flow_function
    work_queue_name: my-work-queue
    storage:
      block_type: git
      block_name: my-git-block

### Steps: 1. Choose Your Storage Type: Here, we use

git

as an example. Other supported storage types include cloud storages like S3, GCS, etc. 2. Define Storage Configuration: - `type`: Type of storage (

git

,

s3

,

gcs

, etc.). - `repository`: URL of the Git repository. - `branch`: Branch name to pull the flow code from. 3. Include Storage in Deployment: Specify storage details inside

deployments

to ensure the worker knows where to pull the code from. This can also match a specific storage block you've configured in Prefect UI or CLI. ### Other Storage Options: For cloud-based storages like AWS S3 or GCS, you can refer to this link for more detailed configurations. Feel free to experiment with different storage backends based on your infrastructure needs! If you run into any issues, let me know for more specific guidance.