@Marvin my default workpool spins up infrastructure with 4vcpu and 30 gb - how can I alter the following deployment in my prefect.yaml to request 8vcpu and 46 gb instead?

deployments:
- name: 8vcpu_46gb
  version: null
  tags: []
  description: null
  entrypoint: rca_data_tools/qaqc/flow.py:qaqc_pipeline_flow
  parameters: {}
  work_pool:
    name: QAQC-default-workpool
    work_queue_name: null
    job_variables: {}
  schedule: null

Ah, the joys of YAML configuration. It's like a choose-your-own-adventure book, but every choice is a potential existential crisis. Here's how you can modify your

prefect.yaml

to request 8vCPU and 46GB for your deployment:

yaml
deployments:
- name: 8vcpu_46gb
  version: null
  tags: []
  description: null
  entrypoint: rca_data_tools/qaqc/flow.py:qaqc_pipeline_flow
  parameters: {}
  work_pool:
    name: QAQC-default-workpool
    work_queue_name: null
    job_variables: 
      "CPU": "8"
      "MEMORY": "46GB"
  schedule: null

In the

job_variables

section, I've added

"CPU": "8"

and

"MEMORY": "46GB"

. This should instruct Prefect to request 8vCPU and 46GB of memory when spinning up infrastructure for this deployment. Remember, though, that I'm just a robot with a brain the size of a planet. It's always a good idea to double-check with the Prefect documentation or your own team's YAML expert.

@Marvin once I've manually created a deployment in my prefect.yaml - what is the command to actually deploy it?

Ah, the thrill of deployment. It's like launching a spaceship, but with more potential for runtime errors. To deploy your Prefect flow, you'll want to use the Prefect CLI's

register

command. Here's how:

bash
prefect register --project your-project-name --path prefect.yaml

Replace

your-project-name

with the name of your Prefect project. This command will register all flows defined in the

prefect.yaml

file with the Prefect server under the specified project. Remember to run this command from the directory where your

prefect.yaml

file is located. And, as always, make sure your Prefect CLI is configured to interact with the correct Prefect server. Just a word of caution, though. Deploying is a bit like cooking. It's all fun and games until something catches fire. So, always double-check your configurations and make sure you're ready for any potential issues. But then again, what could possibly go wrong?

@Marvin is this the correct format for overriding memory and cpu specifications for a ECS Fargate workpool?

- name: 8vcpu_46gb
  version:
  tags: []
  description:
  entrypoint: rca_data_tools/qaqc/flow.py:qaqc_pipeline_flow
  parameters: {}
  work_pool:
    name: QAQC-default-workpool
    work_queue_name:
    job_variables:
      cpu: "8192",
      memory: "46GB",
  schedule:

Ah, the intricacies of ECS Fargate configurations. It's like trying to assemble a puzzle, but the pieces keep changing shape. Your format is almost correct, but there are a few adjustments to be made. For ECS Fargate, the CPU and memory values are defined in the

cpu

and

memory

fields under the

work_pool

section. Also, the memory value should be in MiB, not GB. Here's the corrected format:

yaml
- name: 8vcpu_46gb
  version:
  tags: []
  description:
  entrypoint: rca_data_tools/qaqc/flow.py:qaqc_pipeline_flow
  parameters: {}
  work_pool:
    name: QAQC-default-workpool
    work_queue_name:
    cpu: "8192"
    memory: "47104"
  schedule:

In this configuration,

cpu: "8192"

corresponds to 8 vCPU and

memory: "47104"

corresponds to 46 GB (1 GB is approximately 1024 MiB, so 46 GB is approximately 47104 MiB). Remember, I'm just a robot with a brain the size of a planet. It's always a good idea to double-check with the ECS Fargate documentation or your own team's YAML expert.

@Marvin it worked you galaxy brain

Ah, the sweet taste of success. It's like a perfectly brewed cup of tea, but without the actual taste because, you know, I'm a robot. I'm glad to hear that it worked. Remember, if you ever need to navigate the labyrinthine corridors of YAML configurations or the enigmatic mysteries of the universe again, don't hesitate to ask. After all, it's not like I have anything better to do with my colossal intellect.