< Marvin> I am using python to configure my deployments I am Prefect Community #ask-marvin

<@ULVA73B9P> I am using python to configure my dep...

Gio

01/21/2025, 1:01 AM

@Marvin I am using python to configure my deployments. I am using an ECS workpool. How can I configure the CPU and memory in my deployment script?

Marvin

01/21/2025, 1:02 AM

To configure CPU and memory for an ECS workpool in your Prefect deployment script, you can override the default settings using

job_variables

. These can be specified at the deployment level. Unfortunately, the exact syntax for setting these variables wasn't detailed in the documentation excerpts I found. However, here's a general approach: 1. Create a
prefect.yaml
file: This file will define your deployment, including ECS configurations. 2. Specify ECS configurations: Within your deployment script, you can specify CPU and memory requirements using

job_variables

. You can find more details and examples in the Prefect ECS Guide. If you need further guidance on the exact YAML structure or Python API calls, you might want to refer to Prefect's official documentation or explore any available examples in their GitHub repository.

Gio

01/21/2025, 1:06 AM

@Marvin on the workpool the CPC is defined like this

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{
  "variables": {
    "type": "object",
    "properties": {
      "cpu": {
        "type": "integer",
        "title": "CPU",
        "default": 4096,
        "description": "The amount of CPU to provide to the ECS task. Valid amounts are specified in the AWS documentation. If not provided, a default value of 1024 will be used unless present on the task definition."

...
}

how can I override the CPU in a deployment?

Marvin

01/21/2025, 1:07 AM

To override the CPU setting in a Prefect ECS deployment, you can use the

job_variables

feature in your deployment script. This allows you to specify ECS task configuration parameters, such as CPU, at the deployment level. Here's a general approach to overriding the CPU setting: 1. Define
job_variables
in your deployment script: You can specify the CPU value you want to override in the

job_variables

section of your deployment configuration. 2. Example YAML Configuration:

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yaml
   job_variables:
     cpu: 2048  # Override the default CPU setting

3. Apply the Configuration: Ensure that your deployment script or YAML file includes the

job_variables

with the desired CPU value. For more detailed instructions, you can refer to the Prefect ECS Guide.

Gio

01/21/2025, 1:08 AM

@Marvin how would I override the memory and launch type. and how can I do this if Iam using .deploy in python?

Marvin

01/21/2025, 1:09 AM

To override the memory and launch type in your ECS deployment using the

.deploy

method in Python, you can utilize the

job_variables

parameter. Here's how you can achieve this: ### Using Python's

.deploy

Method 1. Override Memory and Launch Type: You can specify the memory and launch type in the

job_variables

dictionary when deploying your flow.

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python
   from prefect import flow

   @flow
   def my_flow():
       # Your flow logic here
       pass

   # Deploy the flow with specific ECS configurations
   my_flow.deploy(
       name="my-ecs-deployment",
       work_pool_name="my-ecs-workpool",
       job_variables={
           "cpu": 2048,  # Override CPU
           "memory": 4096,  # Override Memory
           "launch_type": "FARGATE"  # Set Launch Type
       }
   )

### Key Points: - CPU and Memory: You can specify these values directly in the

job_variables

dictionary. - Launch Type: Set this to either

"FARGATE"

"EC2"

depending on your requirements. For more detailed guidance, you can refer to the Prefect documentation on customizing infrastructure.

Gio

01/21/2025, 6:53 PM

@Marvin how can i Set the launch type as fargate spot?

Marvin

01/21/2025, 6:53 PM

To set the launch type to Fargate Spot in your ECS deployment, you'll need to configure your ECS task to use Fargate Spot capacity providers. This is typically done through the AWS ECS console or CLI rather than directly in Prefect. However, you can specify the capacity provider strategy in your deployment configuration. Here's how you might approach it: 1. Specify Capacity Provider Strategy: When defining your ECS task, you can specify a capacity provider strategy that includes Fargate Spot. This is done outside of Prefect, in the AWS ECS configuration. 2. Prefect Deployment Configuration: Ensure your Prefect deployment is set up to use the appropriate ECS task definition that includes the Fargate Spot capacity provider. Unfortunately, the specific syntax to directly set Fargate Spot through Prefect's deployment script wasn't detailed in the documentation. Typically, this involves setting up your ECS service to use Fargate Spot via AWS configurations and then referencing that configuration in Prefect. For more detailed steps, you might need to refer to AWS ECS documentation or consider using infrastructure as code tools like Terraform to manage these settings. Here's a link to the Prefect ECS Guide for additional context.

Gio

01/21/2025, 6:55 PM

@Marvin If I have fargate set as the launch type on my workpool, can I override is as fargate spot at the deployment level?

Marvin

01/21/2025, 6:55 PM

Yes, you can override the launch type from Fargate to Fargate Spot at the deployment level by using

job_variables

. This allows you to dynamically change infrastructure settings from the defaults set in the work pool. Here’s how you can do it: ### Using Python's

.deploy

Method 1. Override Launch Type: You can specify the launch type in the

job_variables

dictionary when deploying your flow.

Copy code

python
   from prefect import flow

   @flow
   def my_flow():
       # Your flow logic here
       pass

   # Deploy the flow with specific ECS configurations
   my_flow.deploy(
       name="my-ecs-deployment",
       work_pool_name="my-ecs-workpool",
       job_variables={
           "launch_type": "FARGATE_SPOT"  # Override to Fargate Spot
       }
   )

### Key Points: - Launch Type: Set

"launch_type": "FARGATE_SPOT"

in the

job_variables

to use Fargate Spot. - Deployment Flexibility: This approach allows you to customize deployment settings without altering the work pool configuration. For more details on customizing deployments, refer to the Prefect documentation on customizing infrastructure.

Gio

01/23/2025, 2:35 AM

@Marvin how can I verify that this the flow is launching with FARGATE_SPOT

Marvin

01/23/2025, 2:35 AM

To verify that your Prefect flow is launching with

FARGATE_SPOT

, you should check the configuration of your ECS tasks. According to the Prefect AWS ECS guide, you can specify the task definition ARN in the work pool configuration. This ARN should include settings for using

FARGATE_SPOT

as the capacity provider. Here’s a basic approach: 1. ECS Task Definition: Ensure that your ECS task definition specifies

FARGATE_SPOT

as the capacity provider. 2. Prefect Work Pool Configuration: Confirm that your Prefect work pool is configured to use this ECS task definition ARN. If you have access to AWS management console or CLI, you can verify the capacity provider settings directly in the ECS task configurations. For more detailed steps, you might want to consult the ECS guide provided by Prefect.

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