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<@ULVA73B9P> I am using Prefect 3 with ECS. The do...
# marvin-in-the-wild
b
@Marvin I am using Prefect 3 with ECS. The documentation that I found is with a deployment that builds a docker image for each flow. I would like to have an already image in ECR and then just deploy the flow that will use this default image.
m
From the search results, it is possible to deploy a Prefect flow using an existing Docker image stored in ECR with ECS. You can achieve this using Prefect 3 by setting up a deployment that references your pre-built image without building a new one each time. ### Steps to Set Up Deployment with Existing Docker Image in ECR: 1. Provision your ECS infrastructure: You need to ensure that your ECS cluster, ECR repository, and other necessary resources are set up. You can find a detailed guide on this in the Prefect documentation. 2. Create a 
prefect.yaml
for your deployment: Here’s a basic template for your 
prefect.yaml
to use an existing Docker image from ECR:
Copy code
yaml
    name: my-ecs-deployment
    work_pool:
      name: my-ecs-work-pool

    infrastructure:
      type: ecs
      configuration:
        image: <your-ecr-image-url>:latest # Use your ECR image URL
        cpu: 1024 # Define the CPU units required
        memory: 2048 # Define the memory (in MiB) required
        execution_role_arn: <your-ecs-task-execution-role-arn> # Ensure IAM role permissions

    # Optionally, define your flow entrypoint and parameters
    entrypoint: flow.py:my_flow
    parameters:
      param1: value1
3. Deploy your flow: After creating the 
prefect.yaml
file, deploy your flow using the CLI:
Copy code
prefect deploy -n my-ecs-deployment --work-pool my-ecs-work-pool
You can follow the detailed guide in the Prefect 3 ECS Example Documentation for more configuration options and examples. ### References: - Deploying on AWS ECS with Prefect - Serverless Deployment Examples By following these steps, you should be able to deploy your Prefect flows on ECS using an existing Docker image stored in ECR.
b
@Marvin Thanks but I would like to use a python deployment script instead
m
You can use a Python script to deploy Prefect 3.x flows using an existing Docker image stored in ECR. Below is an example of how you can do it: ### Python Deployment Script First, prepare your flow as you normally would. Save it in a 
flow.py
file:
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python
from prefect import flow

@flow(log_prints=True)
def my_flow(name: str = "world"):
    print(f"Hello {name}! I'm a flow running in an ECS task!")

if __name__ == "__main__":
    my_flow()
### Deployment Script Now, create a Python script to deploy your flow using the existing ECR image:
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python
from prefect.deployments import Deployment
from prefect.infrastructure.docker import DockerContainer

# Define your Docker image from ECR
docker_container_block = DockerContainer(
    image="<your-ecr-image-url>:latest",  # Replace with your ECR image URL
)

# Define the deployment
deployment = Deployment.build_from_flow(
    flow=my_flow,  # Import and reference your flow function
    name="my-deployment",
    infrastructure=docker_container_block,
    work_pool_name="my-ecs-work-pool",
)

if __name__ == "__main__":
    deployment.apply()
### Running the Deployment Script Run the deployment script from your terminal:
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sh
python deploy.py
This script will use your specified Docker image from ECR to deploy the flow to your ECS work pool. ### Key Points: - Replace 
<your-ecr-image-url>
with the URL of your ECR image. - Ensure you have the necessary permissions and AWS credentials configured to interact with ECS and ECR. ### References: - Official Prefect Documentation on ECS Integration. - Prefect Documentation on DockerContainer Infrastructure. This setup allows you to manage and deploy your Prefect flows using an existing Docker image stored in ECR, avoiding the overhead of building a new Docker image for each deployment.
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