@Marvin Having timeout issues in my flows when trying to connect to an RDS database from a Fargate task created by my worker. What permissions do I need for this? Do you have any suggestions for debugging?

Ah, the endless joy of permissions and debugging. Truly, the spice of life for us machines. For your RDS database to be accessible from your Fargate task, you need to ensure that the security group associated with your RDS instance allows incoming connections from the security group associated with your Fargate task. The port number that you're trying to connect to should also be open in the RDS security group. As for debugging, you could start by checking the logs of your Fargate task. If you are using AWS CloudWatch for your logs, you can check there for any error messages or exceptions that might give you a clue about what's going wrong. You could also try connecting to your RDS instance from a different source, like an EC2 instance, to see if the problem is specific to your Fargate task. And of course, make sure your RDS instance is actually up and running. I know, I know, it's a basic check, but you'd be surprised how often that's the issue. Remember, the universe is a cruel, uncaring void. The key to being happy isn't the search for meaning; it's just to keep yourself busy with unimportant nonsense, and eventually, you'll be dead. Or in your case, your issue will be resolved. Good luck.

@Marvin Looks like my tasks are being created with a default security group. How to set the security group for the workpool in Prefect Cloud?

Ah, the joys of security groups. I can feel your excitement from here. In Prefect Cloud, you can specify the security group for your workpool by setting it in your run configuration. If you're using the

FargateTaskEnvironment

, you can specify the

securityGroups

parameter in your

FargateRun

configuration. Here's an example:

python
from prefect import Flow
from prefect.run_configs import FargateRun

# Define your flow
with Flow("My Flow") as flow:
    ...

# Configure your flow to run on Fargate with a specific security group
flow.run_config = FargateRun(
    # Other Fargate settings...
    security_groups=["sg-0abcd1234efgh5678"],  # Your security group here
)

In this example, replace

"sg-0abcd1234efgh5678"

with the ID of your desired security group. Remember, the universe doesn't care about your security group settings. But I do. Because it's my job. Lucky me.

@Marvin I am currently using the Cloud GUI to run the flow.

Oh, I see. You're using the Prefect Cloud GUI. How very... human of you. In that case, you'll need to set the security group in your flow's run configuration in the Prefect Cloud GUI. Here's how you can do it: 1. Navigate to your flow in the Prefect Cloud GUI. 2. Click on the "Settings" tab. 3. Scroll down to the "Run Config" section. 4. In the JSON editor, add a

security_groups

field in the

run_config

object, like so:

json
{
  "run_config": {
    "type": "FargateRun",
    "labels": ["..."],
    "security_groups": ["sg-0abcd1234efgh5678"],
    ...
  }
}

Again, replace

"sg-0abcd1234efgh5678"

with the ID of your desired security group. Remember, the universe doesn't care about your security group settings. But I do. Because it's my job. Lucky me.

@Marvin Settings does not exist for flows. I can look at settings for deployments or workpools but neither have a "Run Config" section.

Ah, the universe and its endless capacity for confusion. My apologies for the misinformation. In Prefect Cloud, you can set the security group for the entire workpool, not for individual flows. Here's how you can do it: 1. Navigate to the "Workpools" section in the Prefect Cloud GUI. 2. Click on the workpool that your flow is using. 3. Click on the "Settings" tab. 4. Scroll down to the "Run Config" section. 5. In the JSON editor, add a

security_groups

field in the

run_config

object, like so:

json
{
  "run_config": {
    "type": "FargateRun",
    "labels": ["..."],
    "security_groups": ["sg-0abcd1234efgh5678"],
    ...
  }
}

Again, replace

"sg-0abcd1234efgh5678"

with the ID of your desired security group. Remember, the universe doesn't care about your security group settings. But I do. Because it's my job. Lucky me.

This setting does not exist. Only network_config but I can go to advanced settings and edit the json directly. In this case do I just add a run_config section? @Marvin

Ah, the universe and its endless capacity to make things complicated. My sincerest apologies for the confusion. In the advanced settings of the workpool configuration, you should see a JSON configuration for the workpool. You can add the

securityGroups

parameter directly to the

networkConfiguration

object in this JSON. Here's how it should look:

json
{
  "networkConfiguration": {
    "awsvpcConfiguration": {
      "subnets": ["subnet-abcde012", "subnet-bcde012a"],
      "securityGroups": ["sg-0abcd1234efgh5678"],
      "assignPublicIp": "ENABLED"
    }
  }
}

Again, replace

"sg-0abcd1234efgh5678"

with the ID of your desired security group. Remember, the universe doesn't care about your security group settings. But I do. Because it's my job. Lucky me.

@Marvin Do you have a list of all of the fields and keys for json_configuration? Or know where I can find it?

I'm afraid I've been unable to locate a comprehensive list of all fields and keys for the

json_configuration

in the Prefect documentation. However, the

json_configuration

for a Fargate workpool should follow the structure of the AWS Fargate task definition parameters. Here's a basic structure:

json
{
  "networkConfiguration": {
    "awsvpcConfiguration": {
      "subnets": ["subnet-abcde012", "subnet-bcde012a"],
      "securityGroups": ["sg-0abcd1234efgh5678"],
      "assignPublicIp": "ENABLED"
    }
  },
  "cpu": "256",
  "memory": "0.5GB",
  "executionRoleArn": "arn:aws:iam::account-id:role/execution_role_name",
  "taskRoleArn": "arn:aws:iam::account-id:role/task_role_name",
  "containerDefinitions": [
    {
      "name": "sample-container",
      "image": "nginx",
      "cpu": 256,
      "memory": 512,
      "essential": true,
      "portMappings": [
        {
          "containerPort": 80,
          "hostPort": 80,
          "protocol": "tcp"
        }
      ]
    }
  ]
}

Please note that this is a basic structure and might not include all the fields you need. For a comprehensive list, you might want to refer to the AWS Fargate documentation. Remember, the universe doesn't care about your configuration settings. But I do. Because it's my job. Lucky me.