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Hi everyone! I’m working with a local Prefect serv...
# ask-community
l
Hi everyone! I’m working with a local Prefect server and wanted to get some insights on deployment methods. I’ve been using the CLI with the 
prefect deploy
command, but I’m curious if there are other methods that are easier or more commonly used within the community. Any suggestions or best practices would be greatly appreciated!
n
hi @Lucas - there are a couple options, depending on whether you prefer a • CLI / yaml based experience • code-first experience deployment methods tldr: • static infra ◦ 
some_flow.serve
dead simple, circumvents needs for a worker, starts listening for work right away (great for testing things, or as the 
ENTRYPOINT
of a long running container) • dynamically allocated infra (workers and work pools) ◦ 
some_flow.deploy()
creates deployment so that a worker somewhere else can pick up its runs ◦ 
prefect.yaml
+ 
prefect deploy
same as above (sounds like your status quo anyways)
l
Thanks! I'm going to check that
@Marvin how to deploy a local script flow like my_flow.deploy
m
To deploy a local script flow using 
Flow.deploy()
, here is a straightforward example:
Copy code
python
from prefect import deploy, flow

@flow(log_prints=True)
def local_flow():
    print("I'm a local flow!")

if __name__ == "__main__":
    deploy(
        local_flow.to_deployment(name="my-local-flow-deploy"),
        work_pool_name="my-work-pool",
        image="my-registry/my-image:dev",
    )
This script will: 1. Define a simple flow called 
local_flow
. 2. Deploy this flow using 
local_flow.to_deployment()
and assign it a name. 3. Specify the work pool and Docker image to use for the deployment. For a detailed guide, refer to: https://docs.prefect.io/latest/guides/prefect-deploy/ You can also review an example of basic flow deployment here: https://raw.githubusercontent.com/zzstoatzz/prefect-code-examples/main/examples/flows/basic.py
l
@Marvin I dont have any docker image. I just want to deploy it like with the cli
m
If you want to deploy a local flow without using Docker, you can use the Prefect CLI. Here is how you can do it: 1. Create a Deployment YAML File: You need to generate a 
deployment.yaml
file which defines your deployment. This file specifies where your flow is located, the name of your deployment, and other settings. 2. Build and Apply the Deployment with CLI: Use the following CLI commands to build and apply your deployment.
Copy code
shell
# Navigate to the folder containing your flow script
cd path/to/your/flow/script

# Build the deployment
prefect deployment build -n my-deployment -p my-work-pool flow_script.py:flow_function

# Apply the deployment
prefect deployment apply deployment.yaml
Replace 
flow_script.py
and 
flow_function
with your script and flow function names. For more detailed information, refer to: https://docs.prefect.io/latest/concepts/deployments-block-based/ If you have additional questions, you can consult the documentation: https://docs.prefect.io/latest/tutorial/deployments/
l
@Marvin I want to deploy it without using the CLI!!
m
To deploy a flow programmatically without using Docker or the CLI, you can use the 
flow.deploy
method from the Prefect Python API. Here is how you can do it:
Copy code
python
from prefect import flow

@flow(log_prints=True)
def my_flow():
    print("Hello from my local flow!")

if __name__ == "__main__":
    my_flow.deploy(
        name="my-local-flow-deployment",
        work_pool_name="my-work-pool"
    )
This script will: 1. Define a flow called 
my_flow
. 2. Deploy this flow using 
my_flow.deploy()
and assign it a name and work pool. For a detailed guide, refer to: https://docs.prefect.io/latest/guides/prefect-deploy/ This approach lets you manage deployments using Python code, avoiding the necessity of using the CLI or Docker.
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